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We provide our employees with access to professional development and support to help drive their success and ability to innovate. What you will do: In PGIM Fixed Income, our technology group is a dynamic, fast-paced environment, with exciting changes on the horizon under new senior leadership. We are in middle of a technology transformation to build a new platform on Cloud/AWS from ground up. The ideal candidate for this role owns and executes the data roadmap that is geared around placement and implementation of our investment and distribution data across enterprise data lakes, data warehouse and transactional and NoSQL databases. This person will optimize how data and applications are accessed globally. At a micro level, this role will be involved with overseeing database and table-level design, platform migrations and working with DBAs on best practice database tuning to optimize query and write performance. If this sounds interesting, then PGIM could be the place for you. This position is performed in a hybrid manner with a mix of work performed from our office in Newark, NJ and remotely. Our organization follows a hybrid work structure where employees meet with their team in the office on set days of the week and can work remotely the remainder of the week. Working from the office is encouraged when working on tasks that require a high degree of collaboration and may be required during group specific events (Town Halls, etc.) What you can expect: Design and implement data models that reflect business requirements and ensure optimal performance, scalability, and data integrity in the cloud environment. Data Integration: Develop strategies and solutions for integrating data from various sources into the cloud, ensuring data consistency, quality, and real-time availability for analysis and reporting purposes. Help drive transformation of legacy platforms to modern cloud native technology and storage solutions Design and architect cloud-based data solutions, including data storage, data processing, and data analytics platforms, utilizing Amazon Web Services (AWS). Create new approach to migrate data between various database platforms. Partner closely with data engineering function to architect best practice data ingestion, storage, and distribution practices for application consumption and data management at large scale. Align with development teams to create database/schema, structures Participate in the creation of the long-term strategy to optimize data environment. Collaborate with cloud infrastructure teams to optimize the performance, scalability, and cost-efficiency of cloud-based data solutions, leveraging features and services provided by the cloud platforms. Establish and enforce data governance policies and practices in the cloud environment, including data classification, metadata management, and data lifecycle management. Collaboration and Leadership: Work closely with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand their requirements and provide technical guidance and leadership in implementing cloud data solutions. Stay up to date with the latest cloud technologies, tools, and services, and evaluate their suitability for meeting business needs. Recommend and implement new technologies to enhance the organization's cloud data capabilities. Documentation and Communication: Document cloud data architectures, processes, and best practices. Effectively communicate complex technical concepts to both technical and non-technical stakeholders. Implement robust security measures and data protection mechanisms to ensure the confidentiality, integrity, and availability of sensitive data in the cloud. Ensure compliance with relevant data privacy regulations. What you will bring: 12+ years of experience of programming experience in Python or Java with last five years in Python. Bachelor's degree in Computer Science, Information Systems, or a related field. Proven experience as a Data Architect, with a focus on designing and implementing cloud-based data solutions. Strong expertise in AWS cloud platforms including services like S3, Redshift, Aurora, Glue, EMR, Event-Bridge, Lake formation etc. Experience with Snowflake is must. Extensive Experiences designing and building data ingestion and integration platform (ETL/ELT) using AWS Glue, Airflow, dbt, Matillion etc.. Proficiency in SQL, data querying, and performance optimization techniques. Familiarity with cloud infrastructure technologies like containers, Kubernetes, and serverless computing. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong experience with data structures, data modeling, data lineage and data catalogues. Experience with data security and privacy in the cloud, including encryption, access controls, and compliance with data protection regulations. highly desirable Financial Industry experience is must. Asset Management experience is desirable Streaming or messaging knowledge with Kafka or Kinesis is desirable. Certifications in cloud platforms or data management (e.g., AWS Certified Solutions Architect etc.) are highly desirable. We know not everyone will meet 100% of the requirements, however we encourage you to apply if you think your skills are a good fit for this role. What we offer you: (Insert Summary of benefits, followed by US salary verbiage for approved states) Medical, dental, vision, life insurance and PTO (Paid Time Off) Retirement plans: 401(k) plan with generous company match (up to 4%) Company-funded pension plan Wellness Programs to help you achieve your wellbeing goals, including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional health, and career development. Tuition Assistance to help finance traditional college enrollment, approved degrees, many accredited certificate programs, and industry designations. To find out more about our Total Reward package, visit Work Life Balance | Prudential Careers Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $155,000 to $185,000. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Roles may also be eligible for additional compensation and/or benefits. Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. About PGIM Fixed Income Group PGIM Fixed Income is a global asset manager offering active solutions across all fixed income markets. With approximately 1000 employees and $793bn assets under management, the company has offices in Newark, London, Letterkenny, Amsterdam, Munich, Zurich, Tokyo, Hong Kong, and Singapore. Our business climate is a safe inclusive environment, centered around mutual respect, intellectual honesty, transparency, and teamwork. Our leaders are focused on talent & culture; dedicated to fostering growth & development at all levels to develop the industry leaders of tomorrow. ) About PGIM - Global Asset Management PGIM is the global asset management business of Prudential Financial, Inc. (NYSE: PRU), a leading global investment manager with nearly US$1.2 trillion in assets under management as of 30th December,2022. With offices in 18 countries, PGIM's businesses offer a range of investment solutions for retail and institutional investors around the world across a broad range of asset classes, including public fixed income, private fixed income, fundamental equity, quantitative equity, real estate and alternatives. With a history dating back almost 145 years, and experience through more than 30 market cycles, PGIM takes a long-term view, not only in our investment philosophy, but also in how we develop our talent. We want to see our employees excel from their first day with the firm and throughout their tenure with PGIM. We will inspire you, support you, and help you reach your greatest personal and professional aspirations. If PGIM sounds like the place for you, join us. For more information about PGIM, visit PGIM.com Our Commitment to Diversity, Equity, and Inclusion Prudential Financial, Inc. is focused on creating a fully inclusive culture, where all employees feel comfortable bringing their authentic selves to work. We do not just accept difference\u2014we celebrate it, support it, and thrive on it. At Prudential, employees have a unique opportunity to build their career path by owning their development, their career, and their future. We encourage employees to hone their skills and explore continued opportunities within Prudential. LI-MM1 Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. Prudential is a multinational financial services leader with operations in the United States, Asia, Europe, and Latin America. Leveraging its heritage of life insurance and asset management expertise, Prudential is focused on helping individual and institutional customers grow and protect their wealth. The company's well-known Rock symbol is an icon of strength, stability, expertise and innovation that has stood the test of time. Prudential's businesses offer a variety of products and services, including life insurance, annuities, retirement-related services, mutual funds, asset management, and real estate services. We recognize that our strength and success are directly linked to the quality and skills of our diverse associates. We are proud to be a place where talented people who want to make a difference can grow as professionals, leaders, and as individuals. Visit www.prudential.com to learn more about our values, our history and our brand. Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status , medical condition or any other characteristic protected by law. The Prudential Insurance Company of America, Newark, NJ and its affiliates. Note that this posting is intended for individual applicants. Search firms or agencies should email Staffing at staffingagencies@prudential.com for more information about doing business with Prudential. PEOPLE WITH DISABILITIES: If you need an accommodation to complete the application process, which may include an assessment, please email accommodations.hw@prudential.com. Please note that the above email is solely for individuals with disabilities requesting an accommodation. 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The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you'll unlock an exciting and impactful career - all while growing your skills and advancing your profession at one of the world's leading financial services institutions. As a Senior Data Scientist - Finance and Actuarial you will partner with Machine Learning Engineers, Data Engineers, Data Analysts and other professionals to build state-of-the-art actuarial, financial, and behavioral models. . You will implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. Here is what you can expect in a typical day: Provide deep technical leadership to a portfolio of high impact data science initiatives. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Actively code against the roadmap Manage team members in data analysis and model development, testing, training, and tuning. Sometimes apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development. Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement. Manage external vendors in the execution of parts of the data science development process. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Bring a applied understanding of relevant and emerging technologies, begin to identify opportunities to provide input to the team and coach others and embed learning and innovation in the day-to-day Work on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL The Skills and expertise you bring: Bachelor of Computer Science or Engineering or experience in related fields Leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization Experience with agile development methodologies and Test-Driven Development (TDD) Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges Excellent problem solving, communication and collaboration skills Applied experience with several of the following: Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transforming data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R. Database Management System: Knowledge of how to work with data from (do not build) SQL skills (relational) - CORE / Initial Proficiency Unstructured (NoSQL) Graph / ontology (DB Graph) Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends. Statistics and Computing: Strong knowledge of: Calculus, Multivariable Calculus, Linear Algebra, Differential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Machine Learning: Deep understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models. Programming Languages: Python, R, SQL, Java or Scala, SQL Financial Modeling: Ability to construct mathematical models to value assets and liabilities. Mastery of concepts including discounted cash flows, weighted average cost of capital, expected value, and terminal value. Ability to generate probabilistic models that represent valuations using varying assumptions. What we offer you: Market competitive base salaries, with a yearly bonus potential at every level Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave Retirement plans: 401(k) plan with company match (up to 4%) Company-funded pension plan Wellness Programs to help you achieve your wellbeing goals, including up to $1,000 a year for reimbursement of items purchased to support personal wellbeing needs Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development. Tuition Assistance to help finance traditional college enrollment toward obtaining an approved degree, many accredited certificate programs, and industry designations. Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service. To find out more about our Total Reward package, visit Work Life Balance Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week. You'll Love Working Here Because You Can Join a team and culture where your voice matters; where every day, your work transforms our experiences to make lives better. As you put your skills to use, we'll help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. You'll be surprised by what this rock-solid organization has in store for you. Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $94,700.00 to $156,300.00. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Roles may also be eligible for additional compensation and/or benefits. Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. In addition, employees are eligible for standard benefits package including paid time off, medical, dental and retirement. Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. Prudential is a multinational financial services leader with operations in the United States, Asia, Europe, and Latin America. Leveraging its heritage of life insurance and asset management expertise, Prudential is focused on helping individual and institutional customers grow and protect their wealth. 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All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status , medical condition or any other characteristic protected by law. The Prudential Insurance Company of America, Newark, NJ and its affiliates. Note that this posting is intended for individual applicants. Search firms or agencies should email Staffing at staffingagencies@prudential.com for more information about doing business with Prudential. PEOPLE WITH DISABILITIES: If you need an accommodation to complete the application process, which may include an assessment, please email accommodations.hw@prudential.com. Please note that the above email is solely for individuals with disabilities requesting an accommodation. 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It focuses on helping individuals and institutional customers to grow and protect their wealth. The company also offers an inclusive work environment where employees can develop to their full potential, and give back to the communities where they live and work. 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When you join PGIM, you'll unlock a motivating and impactful career - all while growing your skills and advancing your profession at one of the world's leading global asset managers! What you will do: Reporting to the Head of Portfolio Analytics, the VP will lead critical modeling initiatives as part of building out a state-of-the-art quant platform supporting multi-asset portfolio optimization, real-world economic simulation, and risk/capital analytics. The position will involve individual contribution at the technical level, leading junior colleagues, and potentially direct management responsibility for a small team as our business grows. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and/ from the office, as needed, based on demands of specific tasks or personal work preferences. Working from the office is encouraged when working on tasks that require a high degree of collaboration. What you can expect: Design and enhance models for economic scenario generation, ALM simulation, and portfolio optimization. Take ownership for model methodology and results and lead junior colleagues in contributing to this work. Explain model results in terms of economic drivers, portfolio characteristics, and modeling assumptions. Design systems for attributing portfolio returns in terms of economic risk factors and security characteristics. Construct and simulate derivative-based hedging strategies. Design asset allocation strategies informed by the specific impact of regulatory capital regime. Collaborate with colleagues across PGIM and Prudential to acquire proprietary data and learn about different modeling approaches that will help to grow our platform. Guide junior colleagues as they learn new modeling techniques and quant finance practices more broadly. What you will bring: Masters in quantitative finance (or comparable academic experience in math, physics, etc.) 5-10+ years' experience in a quant role within banking, asset management, or (and especially) insurance Solid programming background, with a Python emphasis (pandas, numpy, scipy, etc.) Reliable knowledge of core quant finance topics: probability theory, canonical stochastic models, convex and general non-linear optimization, fixed income modeling and securitization, options theory, etc. Practitioner's understanding of why these models were originally defined, how they are actually applied, what their limitations are, and how they could be enhanced or generalized if demanded by business needs. Conceptual clarity about why models are formulated in the way they are. A general ability for and focus on explaining model results in intuitive terms to numerate non-quants, including both business peers and senior executives. What will set you apart: Leadership skills and experience managing quants preferred. Creativity, intellectual curiosity, and the ability to break down quantitative ideas for non-quant audiences. Entrepreneurial appetite and mindset for a growth business venture PGIM welcomes all applicants, even if you don't meet every requirement. If your skills align with the role, we encourage you to apply. AT PGIM, YOU CAN We're passionate about making a meaningful impact on the world, touching the lives of millions and doing things the right way. As the global asset management business of Prudential, we're always looking for ways to improve financial services, working with purpose in an open, friendly, and positive culture. If you're not afraid to think differently and challenge the status quo, come and be a part of a dedicated team that's investing in your future by shaping tomorrow today. Turn Big ideas into reality! What we offer you: Medical, dental, vision, life insurance and PTO (Paid Time Off) Retirement plans: 401(k) plan with generous company match (up to 4%) Company-funded pension plan Wellness Programs to help you achieve your wellbeing goals, including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs. Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional health, and career development. Tuition Assistance to help finance traditional college enrollment, approved degrees, many accredited certificate programs, and industry designations. To find out more about our Total Reward package, visit Work Life Balance | Prudential Careers Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $170,000 to $200,000. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Roles may also be eligible for additional compensation and/or benefits. Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. In addition, employees are eligible for standard benefits package including paid time off, medical, dental and retirement. About PGIM Portfolio Advisory Group PGIM Portfolio Advisory (PPA) is a newly established business within PGIM responsible for providing institutional clients asset-liability management and multi-asset class solutions, with liability driven and insurance expertise. On behalf of its clients, PPA will oversee portfolio construction and management, and will partner with PGIM affiliates including Fixed Income, Private Capital, Real Estate and Quantitative Solutions to deliver best in class origination, trading, research, and risk management capabilities across a full range of asset classes. About PGIM - Global Asset Management PGIM is the global asset management business of Prudential Financial, Inc. (NYSE: PRU), a leading global investment manager with nearly US$1.2 trillion in assets under management as of 30th December,2022. With offices in 18 countries, PGIM's businesses offer a range of investment solutions for retail and institutional investors around the world across a broad range of asset classes, including public fixed income, private fixed income, fundamental equity, quantitative equity, real estate and alternatives. With a history dating back almost 145 years, and experience through more than 30 market cycles, PGIM takes a long-term view, not only in our investment philosophy, but also in how we develop our talent. We want to see our employees excel from their first day with the firm and throughout their tenure with PGIM. We will inspire you, support you, and help you reach your greatest personal and professional aspirations. If PGIM sounds like the place for you, join us. For more information about PGIM, visit PGIM.com. Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. Our Commitment to Diversity, Equity, and Inclusion Prudential Financial, Inc. is focused on creating a fully inclusive culture, where all employees feel comfortable bringing their authentic selves to work. We don't just accept difference\u2014we celebrate it, support it, and thrive on it. At Prudential, employees have a unique opportunity to build their career path by owning their development, their career and their future. We encourage employees to hone their skills and explore continued opportunities within Prudential. Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. Prudential is a multinational financial services leader with operations in the United States, Asia, Europe, and Latin America. Leveraging its heritage of life insurance and asset management expertise, Prudential is focused on helping individual and institutional customers grow and protect their wealth. The company's well-known Rock symbol is an icon of strength, stability, expertise and innovation that has stood the test of time. Prudential's businesses offer a variety of products and services, including life insurance, annuities, retirement-related services, mutual funds, asset management, and real estate services. We recognize that our strength and success are directly linked to the quality and skills of our diverse associates. We are proud to be a place where talented people who want to make a difference can grow as professionals, leaders, and as individuals. Visit www.prudential.com to learn more about our values, our history and our brand. Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status , medical condition or any other characteristic protected by law. The Prudential Insurance Company of America, Newark, NJ and its affiliates. Note that this posting is intended for individual applicants. Search firms or agencies should email Staffing at staffingagencies@prudential.com for more information about doing business with Prudential. PEOPLE WITH DISABILITIES: If you need an accommodation to complete the application process, which may include an assessment, please email accommodations.hw@prudential.com. Please note that the above email is solely for individuals with disabilities requesting an accommodation. 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Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development. Master's Degree or PhD in a quantitative discipline, including Math, Statistics, Computer Science, Economics, and Engineering, or equivalent training and professional experience. Ability to lead independently with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization. Expert communication skills, including the ability to translate ideas into compelling business cases, reports, and oral and written presentations to multiple levels of the organization, including senior leadership. Ability to influence the adoption of new ideas by understanding needs, concerns, and demonstrating the value of AI and advanced analytics solutions. Excellent problem solving, communication and collaboration skills. Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R. Database Management System: Knowledge of how databases are structured and function in order to use them efficiently may include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc. Model Deployment: Understanding of: MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc. model and data versioning Statistics and Computing: Exceptional understanding of: Calculus, Multivariable Calculus, Linear Algebra, Differential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured) Machine Learning: Deep understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models. Programming Languages: Python, R, SQL, Java or Scala, SQL Data Visualization: Knowledge of data visualization standard methodologies, including how to select visualizations appropriate to the data and the data story. Data visualization technologies may include Tableau, Power BI, MS Excel, Google Analytics. Strategy: Ability to formulate original long-term and short-term strategies for achieving business outcomes. Ability to frame strategies in the form of a business plan backed by financial models. Financial Modeling: Ability to construct mathematical models to value assets and liabilities. Mastery of concepts including discounted cash flows, weighted average cost of capital, expected value, and terminal value. Ability to generate probabilistic models that represent valuations using varying assumptions.", "stars": 0.0, "company_name": ["Prudential"], "company_logo": "https://images.crunchbase.com/image/upload/t_cb-default-original/v1490072096/vs2vony1tf0wxdioozfp.png", "companyInformation": {"career_site": null, "linkedin": "http://www.linkedin.com/company/prudential-financial", "facebook_url": "https://www.facebook.com/Prudential/", "categories_list": ["finance", "financial exchanges", "financial services", "insurance", "lending and investments"], "name": "Prudential Financial", "url": "http://www.prudential.com", "categories": "Finance,Financial Exchanges,Financial Services,Insurance,Lending and Investments", "status": "ipo", "twitter": "https://twitter.com/prudential", "location": "Newark,NJ,USA", "logo_url": "https://images.crunchbase.com/image/upload/t_cb-default-original/v1490072096/vs2vony1tf0wxdioozfp.png", "founded_at": "1875-01-01", "funding": "", "employee_count": "10000+", "description": "Prudential Financial is a financial services company that specializes in the fields of investment management, life insurance, and retirement benefits. 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The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you'll unlock an exciting and impactful career - all while growing your skills and advancing your profession at one of the world's leading financial services institutions. As a Director, Data Scientist for Finance and Actuarial, you will partner with Machine Learning Engineers, Data Engineers, Data Analysts and other specialists to transform financial and actuarial processes by building state-of-the-art actuarial, financial, and behavioral models. This role leads data scientists in the development of statistical and machine learning models that deliver significant business value. You will implement capabilities to solve meaningful business problems, deploy innovative products, services and experiences to delight our customers! In addition to advanced technical expertise and experience, you will bring problem solving and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. The current EWA for this position is Hybrid and requires your on-site presence on a reoccurring basis as determined by your business. Your manager will provide additional details relative to the specific number of days you are expected to be on-site Here is what you can expect in a typical day: Provide deep technical leadership to a portfolio of high impact data science initiatives. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments Manage team members in data analysis and model development, testing, training, and tuning. Sometimes apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development. Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement. Manage external vendors in the execution of parts of the data science development process. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL The Skills and expertise you bring: Bachelor of Computer Science or Engineering or experience in related fields Ability to lead independently with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization Experience with agile development methodologies and Test-Driven Development (TDD) Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges Excellent problem solving, communication and collaboration skills Significant experience and/or deep expertise with several of the following: Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transforming data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R. Database Management System: Knowledge of how to work with data from (do not build) SQL skills (relational) - CORE / Initial Proficiency Unstructured (NoSQL) Graph / ontology (DB Graph) Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends. Statistics and Computing: Strong knowledge of: Calculus, Multivariable Calculus, Linear Algebra, Differential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Machine Learning: Deep understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models. Programming Languages: Python, R, SQL, Java or Scala, SQL Financial Modeling: Ability to construct mathematical models to value assets and liabilities. Mastery of concepts including discounted cash flows, weighted average cost of capital, expected value, and terminal value. Ability to generate probabilistic models that represent valuations using varying assumptions. You'll Love Working Here Because You Can Join a team and culture where your voice matters; where every day, your work transforms our experiences to make lives better. As you put your skills to use, we'll help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. You'll be surprised by what this rock-solid organization has in store for you. Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $168,600.00 to $228,000.00. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Roles may also be eligible for additional compensation and/or benefits. Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. In addition, employees are eligible for standard benefits package including paid time off, medical, dental and retirement. Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. Prudential is a multinational financial services leader with operations in the United States, Asia, Europe, and Latin America. Leveraging its heritage of life insurance and asset management expertise, Prudential is focused on helping individual and institutional customers grow and protect their wealth. The company's well-known Rock symbol is an icon of strength, stability, expertise and innovation that has stood the test of time. Prudential's businesses offer a variety of products and services, including life insurance, annuities, retirement-related services, mutual funds, asset management, and real estate services. We recognize that our strength and success are directly linked to the quality and skills of our diverse associates. We are proud to be a place where talented people who want to make a difference can grow as professionals, leaders, and as individuals. Visit www.prudential.com to learn more about our values, our history and our brand. Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status , medical condition or any other characteristic protected by law. The Prudential Insurance Company of America, Newark, NJ and its affiliates. Note that this posting is intended for individual applicants. Search firms or agencies should email Staffing at staffingagencies@prudential.com for more information about doing business with Prudential. PEOPLE WITH DISABILITIES: If you need an accommodation to complete the application process, which may include an assessment, please email accommodations.hw@prudential.com. Please note that the above email is solely for individuals with disabilities requesting an accommodation. 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Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges Excellent problem solving, communication and collaboration skills Enterprise-level implementation of Data Governance/Enterprise Data Catalog tool and integration with diverse corporate data sources on numerous platforms Data catalog scanning of enterprise data source systems & AWS data buckets, including establishing connectivity & ensuring high-quality data scanning & ingesting Experience with metadata management tools & capabilities within the framework of an enterprise data management program Formal Agile development methodology including strict alignment to the methodology timeframes, ceremonies, team constructs, & roles. Technical implementation support for a large enterprise Data Governance program rollout & ongoing implementation & expansion including experience with design, development and deployment of data management & data privacy processes Cloud experience including the Data Governance tools as well as hosting of source systems/data sources Strong data modeling capabilities & expertise in database design, integration, architecture, and performance practices Documentation skills to define solutions, including technical architectures, data flows, system integration plans, etc Implementation of all required corporate IT system and data controls & implementation of standard processes Programming Languages: Python, Java or Java Script; working in distributed systems, object oriented programming, design patterns and design methodology; JAVA services using Spring CLI, Maven, Microservice, multi-threading, Concurrency and parallel processing Application Programming Interfaces (API): Consumption & Development; implementing service oriented architecture (SOA) patterns; Web service technologies such as APIs, REST, JSON, SOAP, XML, JDBC, MySQL Unit, interface and end user testing concepts and tooling (functional & non-functional) experience with automated testing tools Software security skills including secure coding, web application security and DevSecOps; Solid grasp of security concepts (authentication, authorization, encryption, digital signature, JWT), SSL, web service proxies, firewall, SAML 2.0, OpenID Connect, OAuth 2.0) Dev Ops Tools & Practices: Branching techniques and usage of GitHub, Bitbucket or Subversion; DevOps, Jenkins Software Development Life Cycle (SDLC): Monitoring and logging techniques AWS Core Services: AWS Services such as CloudWatch, Code-Deploy Experience with Informatica's Enterprise Data Catalog (EDC), Informatica Axon, Informatica IDQ, Informatica CDQ, & Informatica Cloud Data Governance and Catalog (CDGC) Experience with AWS enterprise data platform tools such as Redshift & S3 Frameworks: React, Springboot, Node.js, such as Full / MEAN / MERN stack Data Store: NoSQL or Relational Data structures; MongoDB BPM tools Data Streaming: SQS, Kinesis Experience working as a standout colleague in a global role/enterprise level Experience supporting Data Science teams using cloud-based AI & ML platforms Proactive results-oriented problem solver with phenomenal attention to detail Architecture Patterns Design Thinking Financial/Insurance industry experience is a plus, not a must", "stars": 0.0, "company_name": ["Prudential"], "company_logo": "https://images.crunchbase.com/image/upload/t_cb-default-original/v1490072096/vs2vony1tf0wxdioozfp.png", "companyInformation": {"career_site": null, "linkedin": "http://www.linkedin.com/company/prudential-financial", "facebook_url": "https://www.facebook.com/Prudential/", "categories_list": ["finance", "financial exchanges", "financial services", "insurance", "lending and investments"], "name": "Prudential Financial", "url": "http://www.prudential.com", "categories": "Finance,Financial Exchanges,Financial Services,Insurance,Lending and Investments", "status": "ipo", "twitter": "https://twitter.com/prudential", "location": "Newark,NJ,USA", "logo_url": "https://images.crunchbase.com/image/upload/t_cb-default-original/v1490072096/vs2vony1tf0wxdioozfp.png", "founded_at": "1875-01-01", "funding": "", "employee_count": "10000+", "description": "Prudential Financial is a financial services company that specializes in the fields of investment management, life insurance, and retirement benefits. It focuses on helping individuals and institutional customers to grow and protect their wealth. The company also offers an inclusive work environment where employees can develop to their full potential, and give back to the communities where they live and work. 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Provide operational support and provide oversight of Retirement data platforms stability, build data solution as well as lead handson implementation of capabilities across multiple data technology domains. Influence, differentiate, and guide our business and technology strategies during constant interaction with various teams. Prudential Retirement's business is embarking on a multiyear program to build a customercentric platform utilizing contemporary technologies and innovative techniques to deliver employee benefit, employer, and advisor experiences that create and protect financial wellness. Enable large scale business and technology projects to adopt cloudbased products and solutions to increase operational efficiency and enable revenue growth. Leverage crossbusiness capabilities within Prudential and partnering with Enterprise groups to enable common technology capabilities for global use across national boundaries. Contribute to the continued build out and modernization of our data platforms in support of our business strategies. REQTS: Must have Master's degree or foreign equivalent in Computer Science, Information Systems, or related field plus two (2) years of experience in the position offered, or as a Big Data Software Engineer, Full Staff Java Developer, Big Data Developer, or a related position. Employer will accept pre or post Master's degree experience. Must have two (2) years of experience with all of the following: Big Data Based Data Warehouse systems to import, export, archive, store, and retrieve data from various sources such as SQL, Rest APIs, Online Web Systems; Full Stack Design of various customer faced big data applications that deal with ingesting data into Hadoop warehouse; Recommendation platforms and Sentimental Analysis of grievance ports using various data science initiatives; Big Data, Hadoop; Map Reduce; Hive; Impala; Sqoop; PIG; Mahout; Hbase; Java; R; Python; Shell; Pentaho QlikView; Springs; JSP; Javascripts; CSS. HOURS: Full time; Mon Fri (37.5 hrs/week) APPLY: Apply by clicking \u201cApply\u201d below and following instructions to submit resume. PEOPLE WITH DISABILITIES:", "stars": 0.0, "company_name": ["Prudential"], "company_logo": "https://images.crunchbase.com/image/upload/t_cb-default-original/v1490072096/vs2vony1tf0wxdioozfp.png", "companyInformation": {"career_site": null, "linkedin": "http://www.linkedin.com/company/prudential-financial", "facebook_url": "https://www.facebook.com/Prudential/", "categories_list": ["finance", "financial exchanges", "financial services", "insurance", "lending and investments"], "name": "Prudential Financial", "url": "http://www.prudential.com", "categories": "Finance,Financial Exchanges,Financial Services,Insurance,Lending and Investments", "status": "ipo", "twitter": "https://twitter.com/prudential", "location": "Newark,NJ,USA", "logo_url": "https://images.crunchbase.com/image/upload/t_cb-default-original/v1490072096/vs2vony1tf0wxdioozfp.png", "founded_at": "1875-01-01", "funding": "", "employee_count": "10000+", "description": "Prudential Financial is a financial services company that specializes in the fields of investment management, life insurance, and retirement benefits. 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Deliver timely and comprehensive projections of ILI's future cash flows, AOI, GAAP, Stat and Tax balances. o Include Sales and Strategic decisions into Business unit projections o Stress testing under potential market, mortality, and policyholder behavior scenarios Provide insights to the ILI leadership team to understand earnings and cash flow drivers and to help optimize new products, inforce management, and enable confident decision making. Implement efficient and robust process improvements while maintaining a strong level of control and governance across systems and processes. Assist in preparation and execution of GAAP financial reports. Excellent communication skills, particularly in presenting results to executives. FSA with significant GAAP and Stat financial reporting knowledge. Ability to build strong stakeholder connections across diverse functional areas, including business, actuarial, finance, treasury, modeling, and risk. Fast learner in developing intuition around product and reserve drivers. Proven track record of orchestrating and managing how processes and systems tie together. The salary range for this role is from $156,100.00 to $211,100.00. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Roles may also be eligible for additional compensation and/or benefits. Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. In addition, employees are eligible for standard benefits package including paid time off, medical, dental and retirement. which is headquartered in the United Kingdom. The company's well-known Rock symbol is an icon of strength, stability, expertise and innovation that has stood the test of time. 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Ability to manage multiple, and at times competing, priorities to specific deliverable timelines within both a team construct and individually Attention to detail, accuracy, and completeness Demonstrated skills as a team player and capable of working independently Ability to maintain high levels of productivity and self-direction and act as a liaison for internal constituents Clear, professional communications (listening, oral and written communications) Extensive experience with MS Excel, Tableau, Python, SQL and other technical data analysis / modeling tools and ability with to work with large datasets What we offer you: Medical, dental, vision, life insurance and PTO (Paid Time Off) Retirement plans: 401(k) plan with generous company match (up to 4%) Company-funded pension plan Wellness Programs to help you achieve your wellbeing goals, including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional health, and career development. Tuition Assistance to help finance traditional college enrollment, approved degrees, many accredited certificate programs, and industry designations. To find out more about our Total Reward package, visit Work Life Balance | Prudential Careers Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $130,000 to $150,000. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Roles may also be eligible for additional compensation and/or benefits. Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. 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