Vice President – Multi-Asset Systematic Strategies Analytics and Platform Team Lead
About the role
We are seeking an experienced quantitative risk professional to lead an analytics team responsible for the development and daily operations of the portfolio risk platform supporting the Multi-Asset Systematic Strategies (MASS) portfolio management team within Fidelity’s Quantitative Research & Investing (QRI) division.
Responsibilities
- Lead, mentor, and develop a team of quantitative risk specialists, fostering a culture of collaboration, innovation, and continuous improvement.
- Set the strategic direction for the team, aligning priorities with the evolving needs of the MASS business and the broader QRI division.
- Oversee the daily validation of risk analytics, ensuring the accuracy and integrity of key risk metrics such as VaR, stress tests, factor exposures, and performance attribution.
- Manage the allocation of team resources to effectively support daily risk oversight, new strategy onboarding, and platform development projects.
- Direct the design and enhancement of the risk platform, collaborating closely with technology partners to ensure scalability, robustness, and flexibility.
- Drive the research and implementation of new risk methodologies and models to enhance the understanding and management of portfolio risks.
- Oversee the onboarding of new and complex multi-asset strategies onto the risk platform, ensuring seamless integration and accurate risk representation.
- Champion the development of innovative risk reports, dashboards, and analytical tools that provide actionable insights to portfolio and risk managers.
- Serve as the primary point of contact between the team and senior stakeholders, including portfolio managers, risk managers, and technology leaders.
- Effectively communicate complex quantitative concepts, model results, and risk analyses to both technical and non-technical audiences.
- Partner with technology teams to define the roadmap for the risk platform's architecture, data infrastructure, and data quality frameworks.
- Represent the quantitative risk function in cross-departmental meetings, regulatory inquiries, and internal audits.
Requirements
- 10+ years of experience in the investment industry, with a significant portion in a quantitative risk management, portfolio analytics, or financial engineering role.
- At least 5 years of experience in a leadership or people management capacity, with a demonstrated ability to build and lead high-performing quantitative teams.
- A Master’s or PhD in a quantitative discipline such as Financial Engineering, Computational Finance, Financial Mathematics, Statistics, Physics, or Computer Science is required.
- CFA or FRM designation is strongly preferred.
- Expert-level understanding of derivatives pricing and risk analytics across a wide range of asset classes (commodities, FX, equities, credit, rates).
- Proven experience leading the development and implementation of quantitative risk models and platforms.
- Strong strategic vision and the ability to translate business needs into robust technical solutions.
- Proficiency in Python and SQL, with a deep understanding of their application in large-scale data management and analysis.
- Extensive experience with industry-standard risk systems (e.g., RiskMetrics, Barra) and a strong grasp of their underlying methodologies.
- Demonstrated ability to challenge and improve upon existing models and processes.
Skills
- Expert-level understanding of derivatives pricing and risk analytics across a wide range of asset classes (commodities, FX, equities, credit, rates).
- Proven experience leading the development and implementation of quantitative risk models and platforms.
- Strong strategic vision and the ability to translate business needs into robust technical solutions.
- Proficiency in Python and SQL, with a deep understanding of their application in large-scale data management and analysis.
- Extensive experience with industry-standard risk systems (e.g., RiskMetrics, Barra) and a strong grasp of their underlying methodologies.
- Demonstrated ability to challenge and improve upon existing models and processes.
Benefits
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.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.