Who You’ll Work With:

The Equity Investment Management Technology (EIMT) Research team develops the
software that powers research, portfolio management, and quantitative analysis
across AB's equity platform. You will join a small, high-impact group that owns
QuantM — AB's proprietary alpha factor research library. The team sits at the
intersection of quantitative finance, data infrastructure, and AI integration,
partnering directly with equity PMs, quant researchers, and data engineers. You
will report to the Head of Equity Quant Model Technology and collaborate with
senior quant researchers across the firm

What You’ll Do:

· Design, develop, and maintain quantitative research tools, factor
libraries, and analytical workflows that support equity investment strategies
across the firm

· Build and optimize large-scale data pipelines using Python, SQL, and
Snowflake, with deployment on Azure Cloud infrastructure

· Collaborate closely with quantitative researchers, portfolio managers,
and data engineers to translate research requirements into scalable,
production-grade solutions





· Develop enriched research datasets — including multi-horizon returns,
security-level metadata, and sector/country classifications — to support
flexible cross-sectional analysis

· Contribute to AI and machine learning initiatives that enhance the
firm's quantitative research capabilities

· Deliver business intelligence dashboards and visualization tools that
surface actionable insights for investment teams

What We’re Looking For:

· Experience in quantitative finance technology, with direct exposure to
equity research infrastructure, factor libraries, or systematic investment
platforms

· Robust proficiency in Python (including Pandas and NumPy) and SQL;
experience with Snowflake is preferred

· Experience building and maintaining large-scale data pipelines and
analytical workflows in a cloud environment (Azure, AKS, or similar)

· Solid understanding of alpha factors, backtesting method

📌 AVP/Quant Developer (Pune)
🏢 Alliancebernstein
📍 Pune