Quantitative Risk Analyst – Multi-Strategy Alternatives

Note: Fidelity will not provide immigration sponsorship for this position.

We are seeking an experienced Quantitative Risk Analyst to join our team of quantitative specialists within Fidelity’s Quantitative Research & Investing (QRI) division. In this role, you will be a key contributor in developing and maintaining the risk analytics and platform infrastructure that underpins risk oversight and portfolio construction for our multi-strategy alternative products. Our liquid alternatives suite spans cross-asset systematic trend, systematic global macro, equity and credit market neutral, arbitrage, and equity option overlay strategies. You will partner directly with multi-strategy portfolio managers and risk managers within the Multi-Asset Systematic Strategies (MASS) team to onboard new investment strategies, design portfolio risk reports, and provide daily validation of the risk analytics in those reports. Additionally, you will collaborate closely with our technology partners to ensure that the analytics framework supporting MASS can scale to meet the evolving demands of the business. The Expertise and Skills You Bring    Daily Risk Validation & Analytics Daily Performance & Risk Monitoring: Validate daily risk analytics across our liquid alternative portfolios, monitoring key metrics such as Greeks, factor exposures, systematic/idiosyncratic risk, performance attribution, stress testing, and Value at Risk (VaR). Investigate Risk Exceptions :  Lead root-cause analysis when unexpected variances in risk metrics occur, troubleshooting issues related to instrument data quality, security master setups, portfolio holdings, and the analytical representation of thinly traded securities. Platform Development & Strategy Onboarding Onboard New Strategies: Play a crucial role in bringing new liquid alternative strategies onto our risk platform. Refine Pricing Logic: Design and implement the business logic and codebase that translates complex instrument terms and conditions into clean inputs for our security pricing engine. Optimize Data Pipelines: Collaborate with engineering teams to build and validate robust instrument loaders and data export pipelines. Design Scalable Architecture: Contribute to the design of our internal data architecture to ensure secure, high-integrity storage of analytics and the establishment of rigorous data quality controls. Enhance Reporting Clarity: Partner with risk managers to design and launch intuitive risk reports and dashboards that improve transparency and deepen our understanding of portfolio risk. Industry Experience: 3+ years of experience in the investment industry, ideally within a quantitative investment, risk management, or portfolio analytics function at an asset management firm.  Experience with liquid alternatives strategies including global macro, trend following and arbitrage highly desirable.

Master’s degree in a quantitative discipline (such as Computer Science, Physics, Mathematics, Economics or a related field) is desirable. Credentials: CFA or FRM designation is strongly preferred. Technical & Professional Skills Derivative Expertise: Strong foundational understanding of risk analytics for derivatives and multi-asset instruments. Quantitative Toolkit: Proven ability to build quantitative risk models and manage large-scale financial data. Programming Skills: High proficiency in Python and SQL for data analysis and scripting. The ability to enhance and debug core Python libraries is a distinct advantage. Risk Platforms: Direct, hands-on experience with institutional risk systems (e.g., RiskMetrics, Barra) is highly desirable. Data Visualization: Experience building stakeholder-facing dashboards using tools like Tableau, Python-Dash, or Python-Streamlit is a plus. Communication & Collaboration: Excellent analytical and problem-solving skills, with a strong attention to detail and the ability to explain complex quantitative