Team Lead Portfolio Risk Platform and Analytics

Fidelity will not provide immigration sponsorship for this position.

About the role

The Team Lead will serve as a player/coach for a high-impact, multi-functional team, acting as 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 develop the domain expertise to root-cause daily issues, answer investor questions, and build automated systems for identifying analytical quality issues.

Fidelity utilizes a clear division of labor: a Central Data Operations team (the "Hub") owns daily validation, quality control, and monitoring of all platform inputs. As the "Spoke," your team inherits these validated inputs to run the platform, validate risk outputs and security analytics, and resolve complex structural or modeling anomalies. You will also 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) ensures the accuracy, timeliness, and reliability of portfolio risk analytics used daily for risk management and portfolio construction across Fidelity Asset Management. Portfolio managers, quantitative researchers, and fundamental investment professionals rely on these risk metrics. As stewards of risk analytics data, the team ensures vendor and internal portfolio risk analytics are delivered consistently, accurately, and on time.

The team sits at the center of a collaborative hub, partnering directly with investment teams to translate complex analytical needs into structured platform requirements for engineering teams, managing the platform's development roadmap, and communicating updates. Concurrently, the team serves as subject matter experts (SMEs) in single security and portfolio risk analytics, providing daily validation of risk outputs while evolving the system by onboarding new vendor models and expanding asset-class coverage.

Responsibilities

• Portfolio Risk Validation & Specialty Analytics
  • Risk Output Integrity: Oversee daily quality control and validation of all calculated portfolio risk analytics, ensuring final 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) to ensure modeled behaviors align with market realities.
  • SME Diagnostic & Issue Resolution: Lead the team in troubleshooting complex, non-input risk anomalies, diagnosing whether issues stem from systemic model behavior, custom proxy logic, or structural calculation errors, and coordinate resolutions with internal and external providers.
  • Hub-and-Spoke Collaboration: Partner closely with the Central Data Operations team, which owns daily validation and monitoring of inputs (holdings, vendor model, and reference data). Your team validates analytic outputs and 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 integrate, validate, and release new risk and factor models into production.
  • Security Coverage & Proxy Engineering: Drive the evolution of security coverage, ensuring 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 to prevent disruptions to 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, translating complex analytical needs into structured requirements for engineering groups and 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 investment desks, building trust in the platform's analytics.
• Team Leadership & Player/Coach Mentorship
  • Mentorship & Upskilling: Act as a player/coach, balancing individual deliverables with mentoring junior team members to develop deep domain expertise in analyzing multi-asset portfolios and running risk operations.
  • Resource Optimization Model: Manage the team using a structured allocation model, dividing resources between daily operational support (risk output validation, SME support, and client inquiries) and project sprints (onboarding vendor models, UAT, and security coverage enhancements) to prevent operational issues from stalling platform progress.

Requirements

• 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 support, risk analytics, or sophisticated data operations roles within the financial industry, with a track record of delivering high-quality analytics.
• Proven experience with market risk models from leading vendors such as Barra, Axioma, Northfield, and Bloomberg.
• Comprehensive understanding of financial data, security analytics, and pricing across equities, bonds, and derivatives.
• Strong analytical capabilities with a demonstrated ability to comprehend large datasets and implement effective quality controls.
• Proficiency in SQL, Python, Snowflake, and/or Oracle, with hands-on experience in data frameworks, anomaly detection methods, and automation workflows to systematically flag output errors.
• Demonstrated leadership in team environments, including mentoring junior associates and driving process improvements.
• Outstanding communication skills, with experience collaborating across technical, investment, and senior leadership teams to translate complex quantitative concepts into clear actions.

The Team

The Portfolio Risk Platform & Analytics team is an integral part of the Quantitative Research and Investments (QRI) division in Asset Management. QRI is responsible for managing and developing quantitative investment strategies and solutions while providing high-quality, data-driven support to Fidelity’s fundamental investment professionals, ensuring access to relevant data and advanced quantitative analysis.

Schedule

Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Pay

The base salary range for this position is $140,000–285,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

Benefits

• Comprehensive health care coverage and emotional well-being support.
• Market-leading retirement benefits.
• Generous paid time off and parental leave.
• Charitable giving employee match program.
• Educational assistance, including student loan repayment, tuition reimbursement, and learning resources to develop your career.