Head of Data Science

CFA Institute

This role connects investment teams and technology, enhancing data science capabilities in portfolio management and risk workflows.

Last checked on June 9, 2026. We may earn a commission when you click through.

The role offers influence investment strategies through technology, ppealing for tech-savvy finance professionals.

✓ Strategic role impacting investment operations ✓ Opportunity to lead data-driven projects ✓ Collaboration with diverse teams

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Head of Data Science

CFA Institute

Updated 2 months ago

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Stamford

The role offers influence investment strategies through technology, ppealing for tech-savvy finance professionals.

About this role

This role connects investment teams and technology, enhancing data science capabilities in portfolio management and risk workflows.

About the Company

CFA Institute is a global association of investment professionals dedicated to promoting the highest standards of ethics and education.

Key Highlights

✓ Bridges investment teams and enterprise technology
✓ Enhances data science integration in workflows
✓ Focuses on portfolio construction and risk management
✓ Leads technology solutions in data science

💡 Honest Take: This position is ideal for those with a strong background in both finance and data science, but may require intense collaboration across teams.

Pros

✓ Strategic role impacting investment operations
✓ Opportunity to lead data-driven projects
✓ Collaboration with diverse teams

Cons

✗ May require extensive cross-department coordination
✗ Potentially high-pressure environment
✗ Location-specific; not remote

Best For: Ideal for professionals eager to integrate technology into finance and enhance portfolio management.

Watch Out: Candidates should be prepared for a demanding role that requires balancing technical skills with financial acumen.

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What Customers Say

Employee feedback highlights a dynamic work environment but notes the challenges of cross-team collaboration.

Expert Review

This position at CFA Institute focuses on integrating data science with investment workflows. It demands a blend of technical expertise and financial knowledge, challenging yet rewarding opportunity. The role requires strong collaboration skills, as it bridges various teams across the organization.

Candidates will be at the forefront of developing solutions that enhance portfolio construction and risk management. The emphasis on embedding data science capabilities means that applicants should have a understanding of both investment strategies and data analytics.

The absence of remote work may deter some potential candidates, especially those accustomed to flexible environments. However, the chance to work directly in Stamford, a hub for finance and investment, could be appealing for many.

According to CFA Institute's job listing, the role is pivotal in driving technological advancements in investment operations, which may attract innovative thinkers in the finance sector. Those with a passion for data-driven decision-making will find this role particularly fulfilling.