Financial Model Engineer, Vice President

About this role

Role Summary
We are looking for a Vice President to join the Python Engineering team within Quantitative Analytics Engineering group. The role involves building production‑grade analytics, data pipelines, and models on the Python Production Platform (PPP), with a focus on Pre‑IPO analytics, Index creation, and Alternatives modeling. 
The VP will work directly with local lead and collaborate across global engineering, research, and product teams.

Key Responsibilities

• Develop and maintain Python-based analytical models for Pre‑IPO, Indexing, and Alternatives.

• Build scalable, reliable pipelines using PPP, Prefect, containers, and internal tooling.

• Implement rules-based index methodologies, rebalancing logic, and simulation engines.

• Contribute to Real Estate / Private Equity / Alts frameworks (NAV, liquidity, flows, attribution).

• Design robust data ingestion & validation workflows across internal and external datasets.

• Own end‑to‑end delivery: requirements, development, testing, documentation, deployment.

• Drive engineering best practices and mentor junior developers.

Required Experience & Skills

• 6–8 years of hands-on experience in Python engineering or quantitative analytics.

• Strong command of Python, data manipulation libraries, and production code patterns.

• Experience with workflow orchestrators (Prefect, Airflow) or distributed compute.

• Understanding of financial analytics: Indexing, private markets, or alternatives preferred.

• Strong debugging, testing, and documentation habits.

• Ability to work with global cross-functional teams.

Preferred Skills

• Experience with PPP or similar internal compute frameworks.

• Knowledge of investment analytics, time-series analysis, or quant research.

• Familiarity with containers, GitHub, CI/CD, or cloud frameworks.

• CFA/FRM progress or interest in financial domain.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an Equal Opportunity Employer.  We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.