Associate Quantitative Analyst

Aflac

full-time

Posted on: 9/18/2025

Origin: • 🇺🇸 United States • New York

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💰 $101,000 - $142,000 per year

JuniorMid-Level

ApachePythonScikit-LearnSparkSQL

About the role

Work as a member of Aflac Global Investments (GI) and the Quantitative Analytic Solutions (QAS) / Investment Risk Architecture team
Collaborate with quantitative analysts, quantitative investment risk analysts, asset liability management analysts, and enterprise risk management teams across the U.S. and Japan
Contribute to the development and calibration of models concerning hedging strategies, strategic asset allocation, economic scenario generation, portfolio optimization, tactical asset allocation, capital measurement and regulatory analytics
Support longer-term projects building out functionality in the quantitative platform
Perform tactical analysis using existing tools with immediate impact on business decisions
Explain modeling methodology and model results to non-quants within the business
Report to Quantitative Analytic Solutions/Investment Risk Architecture Manager and work with various investment and operational teams

Bachelors Degree in mathematics, quantitative finance, physics, financial engineering, computer science or other related field; advanced degree a plus
Minimum 1 year experience in a similiar quantitative role; preferably in an institutional investment environemnt or insurance asset manager; will consider internship experience
Knowledge of standard quant finance models (and stochastic calculus) on a practical level
Deep orientation toward probabilistic thinking; Bayesian mindset
Appreciation for the financial meaning and economic basis of models
Familiarity with major fixed income asset classes, basic bond math, Vanilla FX/IR derivatives
Hands-on programming experience involving large projects, implementation of quantitative models, and intuition for how to write usable, and understandable, code—Python preferred, C++, SQL or similar experience desired as well
Knowledge of source control (Git/Github), databases (Snowflake), visualization tools (Plotly/Dash) and Big Data / ML frameworks (Scikit-learn, Apache Spark) is a plus
Comfortable with explaining quantitative ideas to non-quants
Intellectual curiosity and ability to generate and brainstorm ideas
Team player