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Aflac

Supplemental health and life insurance provider

Associate Quantitative Analyst

Quantitative ResearchUpdated on Nov 14
Full-timeNew York, NY, USA

About the Job

Requirements

  • A bachelor's degree in Financial Engineering, Mathematical Finance, Mathematics, or a similar quantitative discipline is required.
  • At least 2 years of related quantitative analysis, financial modeling, or similar experience with a bachelor's degree, or 0 to 1 year with a master's degree, is required; an equivalent combination of education and experience may also qualify.
  • Strong practical understanding of quantitative finance models, including stochastic calculus, and their application to investment and risk management challenges.
  • Deep orientation toward probabilistic thinking and a Bayesian mindset.
  • Solid understanding of the economic rationale and financial implications underlying quantitative models and investment strategies.
  • Familiarity with major fixed-income asset classes, fixed-income analytics, bond mathematics, and vanilla foreign exchange and interest rate derivatives.
  • Proficiency in developing and implementing quantitative models using Python.
  • Knowledge of source control and collaborative development practices using Git and GitHub, and experience with data platforms and databases such as Snowflake.
  • Ability to explain quantitative ideas to non-quantitative stakeholders and make technical ideas intuitive and digestible.
  • Must be able to report to the New York, NY office for at least 60% of the work week and work from home within the continental United States for the remaining portion.
  • Travel of 10% or less is required.

Responsibilities

  • Maintain and enhance asset valuation and net investment income forecasting models that support FP&A financial planning, forecasting, and strategic decision-making.
  • Partner with FP&A and other key stakeholders on long-term initiatives that expand model capabilities and align analytical solutions with evolving business requirements.
  • Build working relationships across investment, finance, and risk functions by translating complex quantitative concepts into actionable insights for senior stakeholders.
  • Deliver timely, actionable analyses using existing quantitative tools and models to inform business and investment decisions.
  • Develop and calibrate models for hedging strategies and optimization in foreign exchange, interest rates, credit, and equities.
  • Support strategic and tactical asset allocation decisions through economic scenario generation, portfolio optimization, and analysis from total return and income perspectives.
  • Communicate modeling methodologies, assumptions, and results to non-technical stakeholders to ensure transparency and business understanding.
  • Document model methodologies, key assumptions, calibration processes, and governance standards to support model integrity and regulatory compliance.
  • Stay current with quantitative and financial modeling techniques and identify opportunities to improve data quality, analytical processes, and financial, accounting, and investment reporting.
  • Perform other duties as assigned.

Desired Qualifications

  • Experience with C++ and/or C# is an advantage.
  • A master's degree in Financial Engineering, Mathematical Finance, Mathematics, or a similar quantitative discipline is preferred.
  • Python, C++, SQL, or similar experience is preferred.

About the Company

Aflac

Supplemental health and life insurance provider

Aflac provides supplemental health and life insurance products to individuals and families, operating mainly in two regions: Aflac Japan and Aflac U.S. Its policies are designed to cover out-of-pocket costs from health events and income loss, including cancer, critical illness, accidents, hospital stays, and life events. These benefits are paid directly to policyholders to help manage medical expenses not fully covered by primary insurance. The products are distributed through a network of independent agents, brokers, and financial advisors, enabling a high-volume, low-premium model that supports a large, stable customer base and ongoing revenue. Japan is its largest market, and the company uses this broad distribution and scale to differentiate itself from competitors. The goal is to provide straightforward financial protection against unexpected health-related costs while expanding its presence in the U.S. and Japanese markets.

Company size
10,001+
Company stage
IPO
Headquarters
Columbus, GA
Founded
1955

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