Associate Data Science ActuaryReinsurance Group of America, Incorporated • Saint Louis, MO, US

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Associate Data Science Actuary

Reinsurance Group of America, Incorporated • Saint Louis, MO, US

Hace 14 días

Tipo de contrato

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Descripción del trabajo

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The Associate Data Science Actuary, Americas Data Solutions is a qualified actuary with data science capabilities. This role involves combining technical skills and predictive modelling to contribute to innovative data products and collaborates on project-teams consisting of data scientists, actuaries, underwriting, IT, and business developers. The Associate Data Science Actuary will focus on data product innovation for internal and industry initiatives by leveraging new and existing data sources and solutions through exploratory analysis, insights, model maintenance, and model R&D.

Responsibilities

Provide advanced actuarial and analytical skills to support the development or enhancements of commercial data-solutions at RGA.
Lead, design, create and interpret end-to-end model's with a typical focus on risk scores.
Evaluate new external data sources and explore new applications of non-traditional data sources for RGA and our clients.
Participates in the development and enhancement of underlying processes and recommends improvements in data analysis / modeling best practice standards
Expected to face a variety of stakeholders at various levels of seniority
Offer risk management skills to any data processing or modeling exercise :
Understanding business context & where material scope for error lies
Adhering to professional standards, best practices, and ethical guidelines
Understanding the strengths and limitations of a modeling approach
Have a strong understanding on tools / techniques their actuarial peers will not have had a formal education in
Applications, risks, transparency, quality assurance & peer review, ethical guidelines
Staying abreast of new techniques, but focusing on practical applications
Liaising with RGA's Global D&A team for more sophisticated data science applications
Contributing to RGA's global analytics community, routinely sharing, maintaining consistency of approach

Requirements

Bachelor's degree in Math, Finance, Statistics, Actuarial Science, Computer Science or related field

FSA accreditation or equivalent

6+ years of actuarial experience in life insurance / reinsurance

2+ years statistical on-the-job modeling experience (not exam based) for insurance or related applications (Regression, Decision Trees, Time Series, etc.)

Statistical programs / languages (R or Python)

Spreadsheet skills (Excel / VBA) and database applications (SQL, Snowflake, Oracle,...)

Advanced predictive modeling skills

Tree-based models + GLMs

Cross-Validation, Residuals and model diagnostics

Basic Statistical concepts for feature engineering (e.g. percentiles, standardization, correlations, risk ratios / chi-square test, splines, and other non-linear transformations)

Pro-active use of insurance expertise & actuarial concepts to feature engineering and model evaluation

Advanced exploratory data analysis skills - Plots and graphics (BI / ggplot)

Ability to compile, analyze, refine, model and interpret very large data sets as well as the ability to incorporate expert judgment into statistical modeling techniques

Transform data to enhance its predictive value (feature engineering)

Advanced ability to translate business needs and problems into viable / accepted solutions

Advanced investigative, analytical and problem-solving skills

Preferred

Experience with product design / pricing / experience studies

Reinsurance industry experience

Master's degree or PhD in Statistics, Actuarial Science, Economics, or related field

4+ years of experience with statistical modeling for insurance

project lead, supervisory or management experience

Ability to create and maintain commercial data-solutions

Familiar with actuarial modeling platforms (AXIS, Prophet, Exp Studies etc.)

Basic machine learning models / concepts (SVM's, GAN's, Neural Networks / Deep Learning, Naive Bayes, NLP), and / or basic statistical concepts for feature engineering for dimensionality reduction such as PCA's, SVD's, and clustering

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Insurance

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Associate Actuary • Saint Louis, MO, US