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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.
Job Responsibility:
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
Requirements:
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
Nice to have:
Knowledge of investment analytics, time-series analysis, or quant research
Familiarity with containers, GitHub, CI/CD, or cloud frameworks