Senior Quant Analyst

Location: Pune, India

Join a leading global investment firm as a key member of the Investment Services Technology team. This role sits at the intersection of quantitative research and data engineering, focusing on building high-integrity datasets that drive systematic investment strategies. You will have end-to-end ownership of data quality frameworks, ensuring that the signals used by Portfolio Managers are accurate and robust.

• Data Innovation: Design and implement advanced methods for cleansing and transforming diverse global datasets.

• Quantitative Quality Control: Develop Python solutions to correlate model inputs with outputs, using statistical techniques to measure signal quality.

• Database Excellence: Create and optimize complex SQL queries and performance-tune data pipelines for research-ready datasets.

• Risk & Investment Testing: Build new test cases based on risk parameters (volatility, Greeks, exposure) to enhance framework robustness.

• Strategic Collaboration: Partner with Multi-Asset Portfolio teams to translate complex business problems into technical data solutions.

• Technical Mastery: High proficiency in Python and SQL; ability to write clean, high-performance analytical code.

• Domain Knowledge: Strong understanding of Security Reference Data, Market Risk measures, and financial instruments.

• Quantitative Background: Solid grasp of statistics, financial theory, and portfolio management concepts.

• Tools: Hands-on experience with Bloomberg is essential.

• Education: Bachelor’s or Master’s in a quantitative field (Engineering, Math, Statistics, or Econometrics).

• Certifications: Progress toward CFA, FRM, or CQF is highly preferred.

This position offers a rare blend of deep technical development and direct exposure to the investment business. It is designed for a proactive problem-solver who wants to move beyond standard data processing into the world of sophisticated systematic investing.