This is a remote position.

DISCLAIMER: This job posting is intended for active pooling of candidates who will become part of our talent pool. Your qualifications will be assessed against both current and future job openings. Should your application align with a role that corresponds to your skills and experience, and an opportunity arises, our recruitment team will reach out to you immediately. Please note that this does not guarantee immediate placement or contact. Additionally, we exclusively consider applications from individuals who are currently reside in the US/Canada during their application process.

Salary: $62,000 - $72,000 per annum

Experience Required: Minimum 1 year of project experience

Requirements

Skills and Abilities:

Strong knowledge of R or Python for data analysis and modeling.
Proficiency in statistical programs such as R, SAS, MATLAB, or Python.
Familiarity with spreadsheets (VBA) and database applications (Access, Oracle, SQL, or equivalent technology).
Basic understanding of SQL, Javascript, XML, JSON, and HTML.
Ability to learn new methods quickly and work under deadlines.
Excellent teamwork and communication skills.
Strong analytical and problem-solving abilities.
Basic understanding of SQL, Javascript, XML, JSON, and HTML.

Preferred:

Knowledge of actuarial concepts and life, health, and/or annuity products.
Experience with statistical modeling techniques such as GLM, Decision Trees, Time Series, Regression, etc.
Familiarity with Microsoft DeployR.
Exposure to insurance risk analysis.
Basic experience in computational finance, econometrics, statistics, and math.
Knowledge of SQL and VBA.
Familiarity with R or Python for predictive modeling

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