Quantitative Risk & Portfolio Engineer

Corebridge Financial • Woodland Hills, CA

1d • Hybrid

About The Position

At Corebridge Financial, we believe action is everything. That’s why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow. We align to a set of Values that are the core pillars that define our culture and help bring our brand purpose to life: We are stronger as one: We collaborate across the enterprise, scale what works and act decisively for our customers and partners. We deliver on commitments: We are accountable, empower each other and go above and beyond for our stakeholders. We learn, improve and innovate: We get better each day by challenging the status quo and equipping ourselves for the future. We are inclusive: We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work. Who you'll work with Market Risk Management is a multi-disciplinary financial derivatives team that applies quantitative methods and technology to highly dynamic work. Our mandate includes managing complex retirement and insurance product risks through portfolio hedging, research and development, modeling, analytics, controls, and management reporting. We operate within a larger organization while maintaining a collaborative and entrepreneurial working environment. The Market Risk Management team supports fixed index annuity, index universal life, registered index-linked annuity, and other retirement and insurance products. These products contain complex embedded derivatives that require expertise in derivatives, financial engineering, insurance products, capital markets, data, and risk communication. We are looking for a flexible resource who can work across our Trading, Quantitative Engineering, and Reporting functions as priorities and workloads change. About the role Market Risk Management seeks a talented, detail-oriented quantitative professional who can operate across portfolio support, model implementation and research, and risk reporting and analytics. The successful candidate will help connect market data, models, portfolio decisions, operating controls, and stakeholder communication. This role is intended for an individual who enjoys moving between real-time portfolio questions, analytical development, and disciplined production reporting.

Requirements

• Master's degree in financial engineering, quantitative finance, mathematics, statistics, engineering, computer science, or a related field is strongly preferred.
• Typically 3+ years of relevant experience in financial services, derivatives, quantitative research, risk management, trading, asset-liability management, portfolio analytics, or financial software.
• Strong knowledge of financial instruments and derivatives, including valuation, risk measures, market data, and hedging concepts.
• Strong programming skills in Python and SQL; experience with Oracle, C/C++, scientific computing, or high-performance computing is beneficial.
• Experience sourcing and validating financial data from relational databases and commercial platforms such as Bloomberg.
• Competence in statistical or econometric analysis, simulation, back-testing, data reconciliation, and interpretation of financial results.
• Knowledge of annuity product design, embedded derivatives, asset and derivative valuation models, balance sheet risk, or ALM is preferred.
• Relevant professional designations or progress toward CFA, FRM, ASA/FSA, or CQF are beneficial.
• Able to perform in a fast-paced environment where priorities can shift quickly and multiple deadlines must be managed.
• Detail and process oriented, with a strong appreciation for operational controls, model governance, data quality, and documentation.
• Enjoys working on a multi-disciplinary team to solve analytically complex problems and communicates effectively with both technical and wider audiences.

Nice To Haves

• experience with Oracle, C/C++, scientific computing, or high-performance computing is beneficial.
• Knowledge of annuity product design, embedded derivatives, asset and derivative valuation models, balance sheet risk, or ALM is preferred.
• Relevant professional designations or progress toward CFA, FRM, ASA/FSA, or CQF are beneficial.

Responsibilities

• Support daily derivatives portfolio monitoring, hedging decisions, scenario analysis, exposure review, and detailed performance or attribution analysis.
• Build, modify, and implement valuation, hedging, simulation, and balance sheet risk models for annuity and insurance products.
• Conduct historical analysis, back-testing, sensitivity testing, and quantitative research to support new and existing hedging strategies.
• Produce timely portfolio, risk, attribution, and management reporting, connecting results to markets, positions, models, hedge activity, product features, and data quality.
• Automate and strengthen data, reporting, reconciliation, exception-handling, documentation, and operating-control processes.
• Rotate across trading, quant, and reporting assignments based on business priorities, acting as a bridge among portfolio managers, model developers, reporting professionals, technology partners, and stakeholders.
• Stay current on financial markets, derivatives products, insurance industry developments, and hedging practices.

Benefits

• medical, dental and vision insurance plans
• mental health support
• wellness initiatives
• retirement benefits options
• 401(k) Plan with a generous dollar-for-dollar Company matching contribution of up to 6% of eligible pay and a Company contribution equal to 3% of eligible pay
• Employee Assistance Program
• Matching charitable donations up to $5,000
• Volunteer Time Off (up to 16 hours annually)
• Paid Time Off (at least 24 days)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level