Team Lead Portfolio Risk Platform and Analytics

About this role

Job Description:

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

The Role

We are seeking a Team Lead to serve as a player/coach for this high-impact, multi-functional team. In this role, you will be the operational and strategic anchor of the Portfolio Risk Platform. You will lead and mentor a lean, highly specialized group of risk professionals, helping them gain the domain expertise necessary to root-cause daily issues effectively, answer investor questions, and build automated systems for identifying analytical quality issues. To maximize efficiency, our firm utilizes a clear division of labor: a Central Data Operations team acts as the "Hub," owning the daily validation, quality control, and day-over-day change monitoring of all platform inputs. As the "Spoke," your team is responsible for inheriting these validated inputs to run the platform, validate the resulting risk outputs and security analytics, and resolve complex structural or modeling anomalies. Concurrently, you will act as a Product Owner, managing relationships with Fidelity’s investors and portfolio managers, while driving analytics enhancements.

The Risk Platform team within Quantitative Research and Investments (QRI) is the custodian of the accuracy, timeliness, and reliability of the portfolio risk analytics used daily for risk management and portfolio construction across Fidelity Asset Management. Our portfolio managers, quantitative researchers, and fundamental investment professionals rely on our platform's risk metrics for both risk management and portfolio construction. As the stewards of risk analytics data for QRI, our mission is to ensure that all vendor and internal portfolio risk analytics are delivered consistently, accurately, and on a timely basis. We sit at the center of a collaborative hub: we act as product owners who partner directly with investment teams to translate their complex analytical needs into structured platform requirements for our engineering teams, while managing the platform's development roadmap and communicating updates back to the business. Concurrently, we serve as subject matter experts (SMEs) in single security and portfolio risk analytics. In this capacity, we provide daily validation of risk outputs and security analytics while continuously evolving the system by onboarding new vendor models and expanding asset-class coverage. Ultimately, our team is responsible for the operationalization, scaling, quality control, and integrity of the entire production platform.

The Expertise and Skills You Bring

Portfolio Risk Validation & Specialty Analytics • Risk Output Integrity: Oversee the daily quality control and validation of all calculated portfolio risk analytics. Ensure final risk outputs—such as VaR, tracking error, risk decomposition, and stress-testing results—are analytically sound.

• Security Analytics & Modeling QC: Act as the senior SME validating single-security analytics (e.g., option greeks, fixed-income analytics, and derivative pricing). Ensure that modeled behaviors align with market realities.

• SME Diagnostic & Issue Resolution: Lead the team in troubleshooting complex, non-input risk anomalies. When outputs look incorrect, diagnose whether the issue stems from systemic model behavior, custom proxy logic, or structural calculation errors, and coordinate with internal and external providers to resolve them.

• Hub-and-Spoke Collaboration: Partner closely with the Central Data Operations team. They own the daily validation and day-over-day monitoring of the inputs (holdings, vendor model and reference data). Your team acts as the recipient of this clean data, owning the validation of the analytic outputs and the downstream calculations.

Platform Integration & Coverage Evolution • Onboard Vendor Models: Partner with leading risk vendors (e.g., MSCI/Barra, MSCI/RiskMetrics, Qontigo/Axioma, Northfield, Bloomberg) and engineering teams to seamlessly integrate, validate, and release new risk and factor models into production.

• Security Coverage & Proxy Engineering: Drive the evolution of our security coverage. Ensure that newly traded, complex, or illiquid asset classes are accurately modeled, mapped, and proxied for each risk model.

• User Acceptance Testing (UAT): Design and execute rigorous UAT frameworks and validation protocols for all risk platform releases, ensuring updates do not disrupt daily front-office workflows.

Investor Relationship Management & Product Ownership • Investor Engagement & Requirements Translation: Serve as the primary interface and product owner for Fidelity’s investment teams. Partner directly with Portfolio Managers to translate their complex analytical needs into structured requirements for our engineering groups, while prioritizing the platform's development backlog.

• Analytical Support & Communications: Ensure the team provides clear, highly communicative support to answer complex risk, pricing, and model-related queries from the investment desks, building trust in our platform's analytics.

Team Leadership & Player/Coach Mentorship • Mentorship & Upskilling: Act as a player/coach, responsible for individual deliverables while actively mentoring junior team members. Foster their growth in gaining the deep domain expertise required to analyze multi-asset portfolios and run risk operations.

• Resource Optimization Model: Manage your team using a structured allocation model. Divide your resources between daily operational support (focused on daily risk output validation, SME support, and client inquiries) and project sprints (focused on onboarding vendor models, UAT, and security coverage enhancements) to prevent daily operational issues from stalling platform progress.

• Bachelor’s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, computer science, or finance. CFA, FRM, or PRM designations are highly desirable.

• 5+ years of experience in quantitative supp

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