Head of Investor Research Product Engineering, Director

🕒 April 9

🏢🏡 New York City – Hybrid

💵 $225k - $285k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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BlackRock

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1988

💸 Finance

💳 Fintech

Finance • Fintech • Investment

BlackRock is one of the world’s leading providers of investment, advisory and risk management solutions. As a fiduciary committed to helping clients achieve financial well-being, BlackRock focuses on delivering sustainable value while also engaging in corporate governance to promote long-term financial value creation. The firm is dedicated to investing for the future and adapting to global economic changes, including transitioning to a low-carbon economy.

📋 Description

• Serve as the Head of AlphaGen Investor Research Product Engineering. • Develop and execute a cohesive engineering strategy. • Establish clear product ownership and governance. • Forge strong partnerships across stakeholders. • Drive user adoption strategies in partnership with product management. • Own and evolve core libraries, frameworks, and SDKs. • Lead development of AI-powered research tools and automation. • Collaborate with the Alphagen platform team on foundational systems. • Advocate for infrastructure-as-code and robust deployment pipelines. • Manage end-to-end model lifecycle governance tooling. • Key player in the end-to-end product modernization journey.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field; or equivalent practical experience. • Proven experience leading large-scale engineering organizations through product transformation initiatives. • Demonstrated success in setting vision and executing across complex, multi-year technology programs. • Strong understanding of alpha generation workflows or closely related quantitative research processes in finance/investments. • Cloud technologies and cloud-native architectural patterns. • API-first platform design and developer experience best practices. • AI/ML applications for workflow automation. • Modern stack knowledge and skills – e.g. Python, Polars, Ray, MLFlow or equivalent technology. • Demonstrated strength in partnership-building and cross-functional collaboration. • Ability to operate in complex market and organizational contexts.

🏖️ Benefits

• Healthcare • Leave benefits • Retirement benefits • Strong retirement plan • Tuition reimbursement • Support for working parents • Flexible Time Off (FTO)