Duties: Responsible for the delivery of end results focused on operational excellence; Makes decisions guided by function/business plans and policies that impacts the operations of a sub-function or work area within a sub-function
Requirements: Recognized as an expert within the company; Anticipates internal and external business challenges and/or regulatory issues; recommends process, product or service improvements; Solves unique and complex problems; requires conceptual and innovative thinking to develop solutions; Adapts function/business strategy plans and policies to address service and/or operational challenges; May play key role in projects, processes or vendor management

Duties: As part of the company's Center for Data Science and Artificial Intelligence (CDSAi) corporate analytics group, applies analytical skills to work on all aspects of the life insurance value chain, ranging from risk models, fraud detection, customer behavior study, process triaging, and marketing prediction to a variety of other analytics solutions. Applies technical data, analytical, and programming skills to ingest, wrangle, and explore external and internal data to create data assets and reports
Requirements: Master's degree in Statistics, Analytics, Computer Science, Mathematics or Machine-Learning (willing to accept foreign education equivalent) and three (3) years of experience performing data analytics and statistical modeling using complex large-sized datasets in the consumer finance domain

Duties: Builds and leads a generative AI practice within CDSAi. This includes use case development and associated stakeholder management in various business areas. It also means talent development (both recruiting new talent and training existing data scientists), infrastructure and tooling (in collaboration with ML Ops and IT), education of stakeholders and community, vendor selection/collaboration and governance (in collaboration with model governance team and Legal); Managing various stakeholders during solution design and project execution to successfully create solutions and deploy them into full production. Organizational effectiveness (within a complex company like NYL), storytelling and product branding are as important as technical leadership; Utilizes advanced statistical/AI techniques to create high-performing predictive models and other solutions to address business objectives and client needs. Tests new statistical and machine learning analysis methods, software, and data sources ...
Requirements: Graduate-level degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, economics, or similar; 8+ years of experience with predictive analytics using large and complex datasets; Substantial expertise in both parametric statistical modeling techniques (linear regression, GLM, survival analysis, time series, etc.) and non-parametric techniques (GBM, NN, NLP); Expertise in regularization techniques (Ridge, Lasso, elastic nets), variable selection techniques, feature creation (transformation, binning, high level categorical reduction, etc.), validation (holdouts, CV, bootstrap) and model performance measures (may need to create new ones)

Duties: This role will be the key data science leader for building our generative AI practice, in collaboration with our head of ML Ops. The person in this role is expected to have prior experience with creating generative AI solutions and will need to attract others with that skills set. NYL’s CEO has expressed that he wants the company to be a leader in generative AI in our industry. Hence, this leader has to opportunity to help build out that vision and with it their responsibility. Since not every data science project may require generative AI, expert-level familiarity with regular statistical predictive modeling methodologies and practice is also essential
Requirements: Graduate-level degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, economics, or similar; 8+ years of experience with predictive analytics using large and complex datasets; Substantial expertise in both parametric statistical modeling techniques (linear regression, GLM, survival analysis, time series, etc.) and non-parametric techniques (GBM, NN, NLP); Expertise in regularization techniques (Ridge, Lasso, elastic nets), variable selection techniques, feature creation (transformation, binning, high level categorical reduction, etc.), validation (holdouts, CV, bootstrap) and model performance measures (may need to create new ones)

Duties: Performs actuarial pricing for Group Benefits Solutions products, including Life, Accident, Long Term Disability, Short Term Disability, and Absence products and services. Works with Underwriters to develop proper rate adjustments based on client risk profiles, special plan designs, and considerations from profitability, market competitiveness, and market strategic recommendations. Performs case-specific risk assessments to develop appropriate premium rates for a given risk to support the market’s growth and profitability goals
Requirements: Bachelor's degree in Economics, Finance, Statistics, Mathematics or Actuarial Science (willing to accept foreign education equivalent) plus three (3) years of experience performing actuarial services for insurance or annuity products

Duties: Leads data analysis and modeling projects from project and sample design. Participates in business review meetings with internal and external clients to develop requirements and deliverables. Performs analyses and modeling to final reports and presentations, communicates results, and provides implementation support. Demonstrates to stakeholders how analytics can be implemented to maximize business benefits. Provides strategic consulting, assessments, and project scoping and prepares and presents analytical perspective. Drives the use of data-based decision-making and analytics by active internal partnership management, discovering business opportunities, and creating business value by executing high-priority projects. Leverages advanced statistical and machine-learning techniques to create high-performing predictive models and creative analyses to address business objectives and client needs. Leverages scientific approaches (experimental design) to verify the performance of algorithms ...
Requirements: Master's degree in Mathematics, Statistics, Data Science, Computer Science, Economics, Operations Research or related quantitative field (willing to accept foreign education equivalent) plus three (3) years of experience as a Data Scientist or performing predictive analytics within the financial services or insurance industry

Duties: Design, build and support benchmark-relative performance attribution tools using Aladdin as well as customized engines to assess investment decision; Create, and curate a library of quant tools for relative value analysis, liquidity premia determination, and asset allocation decisions; Contribute as an independent thinker in impactful research pieces combining fundamental and quantitative insights across public and private markets; Produce and curate presentations to communicate insights to colleagues and investors to elevate the discussion of key decisions impacting portfolios; Interact with the Asset Liability and risk teams to coordinate building a consistent platform and tools to inform investment decisions
Requirements: 5+ years of experience as a quantitative analyst or quant investor; Advanced degree in finance, economics, statistics, or related discipline; Able to work independently to identify key themes and convey findings in compelling written communications and presentations; Expertise in statistical and quantitative methods in macro-economics and investments pertaining to performance attribution, asset allocation, portfolio optimization, and robust estimation; Expertise in python or related programming language and competence in database languages; Experience working on an asset allocation group with prior insurance experience is a plus

Duties: This role will be the key data science leader for building our generative AI practice, in collaboration with our head of ML Ops. It initially reports directly to Glenn and may later be integrated in the data science area with the largest use cases. The person in the role is expected to have prior experience with creating generative AI solutions and will need to attract others with that skills set. NYL’s CEO has expressed that he wants the company to be a leader in generative AI in our industry. Hence, this leader has to opportunity to help build out that vision and with it their responsibility. Since not every data science project may require generative AI, expert-level familiarity with regular statistical predictive modeling methodologies and practice is also essential
Requirements: Graduate-level degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, economics, or similar; 8+ years of experience with predictive analytics using large and complex datasets; Substantial expertise in both parametric statistical modeling techniques (linear regression, GLM, survival analysis, time series, etc.) and non-parametric techniques (GBM, NN, NLP)

Duties: Performs actuarial pricing for Group Benefits Solutions products, including Life, Accident, Long Term Disability, Short Term Disability, and Absence products and services. Works with Underwriters to develop proper rate adjustments based on client risk profiles, special plan designs, and considerations from profitability, market competitiveness, and market strategic recommendations. Performs case-specific risk assessments to develop appropriate premium rates for a given risk to support the market’s growth and profitability goals
Requirements: Bachelor's degree in Economics, Finance, Statistics, Mathematics or Actuarial Science (willing to accept foreign education equivalent) plus three (3) years of experience performing actuarial services for insurance or annuity products

Duties: Solves unique and complex problems; requires conceptual and innovative thinking and education and/or equivalent experience to develop solutions; Responsible for the delivery of end results focused on operational excellence; Makes decisions guided by function/business plans and policies that impacts the operations of a sub-function or work area within a sub-function
Requirements: Actuary; Experience using Prophet