
2026 Quantitative Risk Intern
About Global Atlantic
Global Atlantic is a leading provider of retirement security and investment solutions with operations in the U.S., Bermuda, and Japan. As a wholly-owned subsidiary of KKR (NYSE: KKR), a leading global investment firm, Global Atlantic combines deep insurance expertise with KKR’s powerful investment capabilities to deliver long-term financial security for millions of individuals worldwide. With a broad suite of annuity, preneed life insurance, reinsurance, and investment solutions, Global Atlantic, through its issuing companies, helps people achieve their financial goals with confidence. For more information, please visit www.globalatlantic.com.
POSITION OVERVIEW
The Risk Quant (RQ) and Asset Liability Management (ALM) teams work together to accomplish comprehensive risk management across both equities and fixed income. This internship will provide exposure to both teams. The Risk Quant team focuses on daily capital markets hedging using primarily equity and interest rate options whereas the ALM team focuses on aggregate level reporting for the firm’s main fixed income focused risk metrics. This is an exciting opportunity to be one of the architects of the Beacon risk system, the firm’s Python-based risk management environment. An ideal candidate will combine a strong background in quantitative analytics with some prior understanding of investments, derivatives, and insurance products. This is a highly collaborative position, which will require strong communication skills across many different areas of Risk as well as Investments, Actuarial and Finance.
RESPONSIBILITIES
- Assist ALM team on an impactful project, including but not limited to producing reports for stakeholders to monitor and review key ALM risk matrix, designing and implementing enhancements to ALM analytics and tools etc.
- Present results of the ALM project in ALM Working Group meeting.
- Assist RQ team on an impactful project, including but not limited to supporting the onboarding of new individual and institutional initiatives, enhancing and extending the hedging code on new hedging requirements.
- Present results of the RQ project in Hedging Strategy Working Group meeting.
- Other objectives include:
- Gain familiarity of GA’s proprietary Python-based risk ecosystem, which includes GA’s highly effective hedging program, scenario generation and automated risk reporting
- Gain familiarity of ALM reporting and monitor asset, liability and derivatives risk positions relative to management objectives and policy limits
- Perform analysis and research to support implementation of ALM strategies
QUALIFICATIONS
- Strong academic record in pursuit of bachelor's or master's degree with concentrations and/or interests in math, statistics, computer science or related technical fields graduating in May 2027
- Strong analytic, programming and database skills
- Experience with Python is preferred
- Experience with SQL and Excel is a plus
- Understanding of various asset classes, such as fixed income, equities, credit, foreign exchange, derivatives and risk management concepts
- Strong project management, verbal and written communication skills and ability to work with people of varying backgrounds
- Strong sense of business ethics
Apply by October 12th at 11:59pm ET to be considered.
Various jurisdictions have passed pay transparency laws that require companies provide salary ranges for any positions for which they are accepting applications.
Global Atlantic’s Intern Salary is determined through an analysis of similar positions in the external labor market. The Intern Salary is based on an annual rate and will be pro-rated for the 10 weeks of employment. Intern Salary is just one component of Global Atlantic’s total compensation package for interns. The Intern Salary for this role is $110,000.
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Global Atlantic reserves the right to modify the qualifications and requirements for this position to accommodate business needs and regulatory changes. Future adjustments may include obtaining specific licenses or certifications to comply with operational needs and conform to applicable industry-specific regulatory requirements, state and federal laws.
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