Assistant Vice President, Quantitative Risk
COMPANY OVERVIEW
Global Atlantic Financial Group is a leading insurance company meeting the retirement and life insurance needs of individuals and institutions. With a strong financial foundation and risk and investment management expertise, the company delivers tailored solutions to create more secure financial futures. The company's performance has been driven by its culture and core values focused on integrity, teamwork, and the importance of building long-term client relationships. Global Atlantic is a wholly-owned subsidiary of KKR, a leading global investment firm. Through its relationship, the company leverages KKR's investment capabilities, scale and access to capital markets to enhance the value it offers clients. KKR's parent company is KKR & Co. Inc. (NYSE: KKR).
POSITION OVERVIEW
Global Atlantic Financial Company (a subsidiary of Global Atlantic Financial Group Limited) is seeking a candidate for the position of Assistant Vice President, Quantitative Risk in New York, NY. Responsibilities include:
- Assistant Vice President, Quantitative Risk within the Risk Management group.
- Support a broad range of Quantitative Risk functions with a focus on capital markets hedging in a Python-based environment for the development of the company’s Edge risk system.
- Interface with internal IT and third-party vendor partners to ensure upstream inputs are available, accurate and complete.
- Debug code in the event of errors and communicate results with report consumers in Risk and Investments.
- Maintain and strengthen controls around hedging infrastructure, including both preventative and investigative checks to ensure completeness and accuracy of hedging decisions.
- Produce monthly and quarterly deliverables for use in Actuarial models and perform associated controls to ensure completeness and accuracy.
- Support the development of new liability products and new reinsurance blocks, assess and improve ability to hedge equity-linked insurance policies and quantify rates and equity exposures.
- Build new and refine existing quantitative models, enhance controls and documentation, work with Internal Audit and Model Risk teams to ensure compliance with internal and regulatory requirements for model governance.
- The expected annual base salary for this New York, New York, United States-based position is $126,277/year to $202,472.92/year.
QUALIFICATIONS
- Bachelor’s degree (U.S. or foreign equivalent) in Quantitative Finance, Financial Engineering, Mathematics, or a related financial quantitative or analytical field plus three (3) years of experience in a related role.
- Three (3) years of experience must include:
- Working with Python, developing and maintaining large, object-oriented code bases.
- Working with building and maintaining data quality processes for key or sensitivity inputs within models or workflows.
- Insurance liability modeling or capital markets hedging modeling, covering vanilla and exotic derivatives in equity and/or fixed income asset classes.
- Working within active risk management framework, including quantification/monitoring, reporting, escalation, and resolution processes.
- Building new and enhancing established quantitative models, along with corresponding controls and documentation within financial reporting compliance or other regulatory regime.
Global Atlantic is an equal opportunity employer, does not discriminate in employment on any basis that is prohibited by federal, state or local laws.
Our employees are in the office 5 days per week in Hudson Yards, NY and 4 days per week in all other offices. If you have questions on this policy or the application process, please reach out to benefits@gafg.com
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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