Data Analyst, Actuarial

3 weeks ago

Woburn, United States SBLI Full time

SBLI Life Insurance’s Actuarial team is seeking a highly skilled and experienced Data Analyst with a strong background in both Data Science and Actuarial Science. The ideal candidate will possess a unique blend of technical expertise, analytical problem-solving skills, and a deep understanding of statistical and actuarial modeling to support data-driven decision-making with an insurance company environment. (In-office position; Local to Woburn, MA; No sponsorship)


Responsibilities

  • end-to-end machine learning tasks from problem synthesis to model deployment by utilizing hands-on knowledge of actuarial science and ML techniques (supervised and unsupervised) to construct and deploy appropriate models to produce actionable insights that will inform analyses and decision-making.
  • validation, aggregation, and reconciliation approaches to integrate large volumes of structured and unstructured data from disparate sources (e.g. Oracle, SQL Server, and Web API) to create data assets suitable for further analyses.
  • strict data science protocols to extract, clean, pre-process and analyze data using appropriate ML techniques including appropriate choice of models among the broad categories of regression, time series, classification, clustering, association, deep learning, model selection and other relevant techniques.
  • appropriate data science techniques to enable and optimize ad targeting, insurance underwriting, customer experience, assumption setting, claims management, market risk and credit risk analyses, among other uses cases.
  • automated analytical tools that can be used repeatedly to generate recurring analyses and results along with preliminary findings. Often work closely with cross-functional teams to achieve desired results.
  • detailed reports, presentations and data visualizations that clearly communicate findings and recommendations (verbally and visually) to technical and non-technical audiences and provide clear descriptions of relevant data sources and methods.
  • strive to improve the efficiency and effectiveness of our data science capabilities by leading initiatives to explore new methodologies, as well as staying abreast and seeking to leverage current trends and advancements in AI, data science and actuarial modeling.


Qualifications

  • At least 3 years of hands-on experience as a Data Analyst, Data Scientist or similar role performing the responsibilities above (except for #4).
  • Master’s degree in data science or a related field, with a strong foundation in actuarial science or statistical modeling either via bachelor’s degree or professional actuarial exams; or successful completion of the relevant Data Science for Actuaries (DSA) exams. Demonstrated mastery along with additional hands-on experience may be sufficient replacement for the master’s degree or the DSA exams.
  • Strong proficiency in statistical software (preferably R, Python or SAS) and proficiency in working with multiple database languages and database management systems (e.g., SQL and Oracle).
  • Strong analytical and problem-solving skills with the ability to manage multiple projects simultaneously.
  • Excellent communication skills, both written and verbal, with the ability to translate complex concepts into understandable insights understandable to diverse audiences.
  • Knowledge of enterprise risk management (ERM) risk measurement approaches, stochastic modeling techniques, dimensionality reduction techniques, and experience with multiple programming languages would be preferred but not required.


Candidates must be local to Woburn, MA and work on-site three days a week at minimum.

Not eligible for visa sponsorship.

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