Investment Analyst, Quantitative Investment Strategy

Investment Analyst

The Chief Investment Office (CIO) is responsible for portfolio construction and asset / liability management on behalf of Prudential's insurance businesses. Business plans contemplate significant new business and reinsurance activities within Lotus Re and Gib Re. Successful portfolio management and asset sourcing planning requires significant analytical resources within CIO.

The QIS team within CIO is responsible for research and development of Asset, Liability and ALM models that supports both General Account and hedging portfolio. It is also responsible for review and construction of asset allocation strategies, including hedging strategies on various product lines. In addition, the team is also responsible for providing quantitative support on broad strategic initiatives on pricing, hedging and valuation of capital market sensitive insurance guarantees.

The Investment Analyst within the QIS team is responsible for developing analytical tools and delivering quantitative analysis to support Prudential's asset-liability management and capital markets solutions in a dynamic environment. The Employee Work Arrangement (EWA) for this role is hybrid, with three days per week in the office. H1-B sponsorship is available for this role.

What you can expect : Join the quantitative analysis team in the Chief Investment Office of a prominent U.S. financial services firm (managing $1.7 trillion in assets, offering Investment Management, Insurance, and Retirement services). In this role, you will develop analytical tools and deliver quantitative analysis to support Prudential's asset-liability management and capital markets solutions in a dynamic environment. Serve as a quantitative developer, initially focusing on the implementation of pricing tools for derivatives (equity, rate, credit, and FX), risk analytics, and profit and loss attribution methodologies as directed by senior team members. Collaborate directly with the Trade Desk to assess, discuss, and craft models / tools that aid daily trading and hedging operations. Contribute to organization-wide projects, such as financial derivative forecasting and / or simulation scenarios.

What you'll need : Proficient in Python with practical experience. Possess a strong understanding of derivative pricing theory, with a keen interest in applying theoretical knowledge in real-world scenarios. Hold an advanced degree in financial engineering, mathematics, computer science, statistics, or related quantitative disciplines. Candidates with a Bachelor's degree and substantial work experience will also be considered.

Note : Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $95,000 to $115,000. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Roles may also be eligible for additional compensation and / or benefits. Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. In addition, employees are eligible for standard benefits package including paid time off, medical, dental and retirement.