Build, test, and maintain alpha signals and model portfolios.

Conduct quantitative portfolio construction and optimization, including minimum variance strategies using Barra risk models.

Develop and support data pipelines, analytics workflows, and research infrastructure using Python and statistical libraries.

Leverage AI tools such as Claude to enhance research, analysis, and workflow efficiency.

Apply corporate finance analysis, including assessment of debt, cash flow, revenue, earnings, and consensus estimates, to support investment decision-making.

Manage and utilize market and fundamentals data sources, including S&P; Xpressfeed and Snowflake.

Proficiency with GitHub repositories for version control and collaborative development.





Experience implementing CI/CD workflows using GitHub Actions.

Robust knowledge of Apache Airflow for workflow orchestration and automation.

Advanced Python programming skills, including expertise in libraries such as Pandas, NumPy, and SciPy.

Familiarity with AI-assisted research and productivity tools, including Claude.

Job Snapshot

Job ID

JOB_8410

Department

Investment Operations and Risk Services

Location

Bengaluru EC- STPI, Bengaluru, Karnataka, India

Experience

7 - 11 Years

Employee Type

Permanent

📌 Delivery Lead-Quant Research (Bengaluru)
🏢 Acuity Knowledge Partners
📍 Bengaluru