Team Lead, Investment Risk Technology
About the position
We are seeking an experienced and dynamic leader to head the development of our Investment Risk Platform for Asset Management at Fidelity. This individual will play a pivotal role in designing, building, and scaling a cutting-edge risk management system that empowers investment teams with actionable insights into factor models, risk exposures, and portfolio performance. The ideal candidate will have a proven track record of successfully developing similar systems, deep expertise in investment risk concepts, and the ability to collaborate effectively across technical and investment teams at all levels. As part of our team, you will have the opportunity to shape the future of investment risk management within a forward-thinking financial services organization. You will work alongside talented professionals who are passionate about leveraging technology to drive smarter investment decisions while fostering innovation at scale.
Responsibilities
• Platform Development & Leadership Lead the design, development, and implementation of the Investment Risk Platform, ensuring scalability, reliability, and alignment with business goals.
• Drive innovation by integrating advanced analytics, factor models, and machine learning techniques into the platform.
• Oversee and contribute towards the end-to-end lifecycle of platform development, including requirements gathering, architecture design, coding, testing, deployment, and ongoing maintenance.
• Risk Modeling & Analytics Develop and implement robust factor models to assess portfolio risk exposures across multiple asset classes.
• Collaborate with investment teams to identify key risk drivers and translate them into actionable metrics within the platform.
• Ensure the platform provides accurate reporting and analytics on risk metrics such as volatility, tracking error, Value-at-Risk (VaR), stress testing results, and attribution analysis.
• Cross-Team Collaboration Act as a bridge between technical teams (engineering, data science, analytics) and investment teams (portfolio managers, analysts) to ensure alignment on objectives and priorities.
• Communicate complex technical concepts to non-technical stakeholders in an accessible manner while understanding investment professionals’ needs deeply.
• Facilitate regular meetings with stakeholders to gather feedback and refine platform features.
• Leadership & Strategy Build and mentor a high-performing team of developers and analysts dedicated to the Investment Risk Platform.
• Stay abreast of industry trends in risk management technologies and methodologies to ensure our platform remains best-in-class.
• Collaborate with senior leadership to define long-term strategies for enhancing risk management capabilities across the organization.
• Communication Skills Proven ability to lead cross-functional teams in a fast-paced environment while managing competing priorities effectively.
• Exceptional communication skills with the ability to convey technical ideas clearly to both technical and non-technical audiences.
• Strong interpersonal skills with a collaborative mindset to work seamlessly across organizational boundaries.
Requirements
• Demonstrated experience in building investment risk platforms or similar systems within financial services organizations.
• Strong programming skills in languages such as Python, R, or Java; familiarity with data visualization tools like Tableau or Power BI is a plus.
• Proficiency in working with large-scale data systems (e.g., SQL databases, cloud platforms like AWS or Azure).
• Expertise in quantitative finance concepts including factor models (e.g., Fama-French), risk exposures (e.g., beta, alpha), portfolio optimization techniques, and statistical modeling.
• Deep understanding of financial markets across asset classes such as equities, fixed income, derivatives, etc.
• Familiarity with regulatory requirements related to investment risk management.
Nice-to-haves
• Advanced degree (Master’s or PhD) in Finance, Economics, Computer Science, Data Science, or related fields.
• Experience working with portfolio management systems such as Bloomberg PORT or BlackRock Aladdin is highly desirable.
• Knowledge of machine learning applications in financial risk modeling is a strong plus.
Benefits
• comprehensive health care coverage and emotional well-being support
• market-leading retirement
• 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
Apply tot his job
Apply To this Job
We are seeking an experienced and dynamic leader to head the development of our Investment Risk Platform for Asset Management at Fidelity. This individual will play a pivotal role in designing, building, and scaling a cutting-edge risk management system that empowers investment teams with actionable insights into factor models, risk exposures, and portfolio performance. The ideal candidate will have a proven track record of successfully developing similar systems, deep expertise in investment risk concepts, and the ability to collaborate effectively across technical and investment teams at all levels. As part of our team, you will have the opportunity to shape the future of investment risk management within a forward-thinking financial services organization. You will work alongside talented professionals who are passionate about leveraging technology to drive smarter investment decisions while fostering innovation at scale.
Responsibilities
• Platform Development & Leadership Lead the design, development, and implementation of the Investment Risk Platform, ensuring scalability, reliability, and alignment with business goals.
• Drive innovation by integrating advanced analytics, factor models, and machine learning techniques into the platform.
• Oversee and contribute towards the end-to-end lifecycle of platform development, including requirements gathering, architecture design, coding, testing, deployment, and ongoing maintenance.
• Risk Modeling & Analytics Develop and implement robust factor models to assess portfolio risk exposures across multiple asset classes.
• Collaborate with investment teams to identify key risk drivers and translate them into actionable metrics within the platform.
• Ensure the platform provides accurate reporting and analytics on risk metrics such as volatility, tracking error, Value-at-Risk (VaR), stress testing results, and attribution analysis.
• Cross-Team Collaboration Act as a bridge between technical teams (engineering, data science, analytics) and investment teams (portfolio managers, analysts) to ensure alignment on objectives and priorities.
• Communicate complex technical concepts to non-technical stakeholders in an accessible manner while understanding investment professionals’ needs deeply.
• Facilitate regular meetings with stakeholders to gather feedback and refine platform features.
• Leadership & Strategy Build and mentor a high-performing team of developers and analysts dedicated to the Investment Risk Platform.
• Stay abreast of industry trends in risk management technologies and methodologies to ensure our platform remains best-in-class.
• Collaborate with senior leadership to define long-term strategies for enhancing risk management capabilities across the organization.
• Communication Skills Proven ability to lead cross-functional teams in a fast-paced environment while managing competing priorities effectively.
• Exceptional communication skills with the ability to convey technical ideas clearly to both technical and non-technical audiences.
• Strong interpersonal skills with a collaborative mindset to work seamlessly across organizational boundaries.
Requirements
• Demonstrated experience in building investment risk platforms or similar systems within financial services organizations.
• Strong programming skills in languages such as Python, R, or Java; familiarity with data visualization tools like Tableau or Power BI is a plus.
• Proficiency in working with large-scale data systems (e.g., SQL databases, cloud platforms like AWS or Azure).
• Expertise in quantitative finance concepts including factor models (e.g., Fama-French), risk exposures (e.g., beta, alpha), portfolio optimization techniques, and statistical modeling.
• Deep understanding of financial markets across asset classes such as equities, fixed income, derivatives, etc.
• Familiarity with regulatory requirements related to investment risk management.
Nice-to-haves
• Advanced degree (Master’s or PhD) in Finance, Economics, Computer Science, Data Science, or related fields.
• Experience working with portfolio management systems such as Bloomberg PORT or BlackRock Aladdin is highly desirable.
• Knowledge of machine learning applications in financial risk modeling is a strong plus.
Benefits
• comprehensive health care coverage and emotional well-being support
• market-leading retirement
• 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
Apply tot his job
Apply To this Job