Quant and Data Science Specialist.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
A leading global investment bank and financial services firm serving institutional and wealth clients across the world. The organisation combines deep market expertise with a strong technology and data-driven culture, investing heavily in analytics and digital platforms. Its teams work collaboratively across regions to deliver rigorous, high-quality solutions in a fast-paced environment.
About the role.
The role sits within a Chief Investment Officer group focused on quantitative research, data science and investment analytics. You will apply statistical and econometric techniques to market and portfolio data to support investment decisions, risk assessment and performance evaluation. The position offers exposure to advanced trading, portfolio and market data systems and the opportunity to shape how data informs investment strategy.
What you will do.
- Develop and maintain quantitative models using advanced programming, with Python as the primary language
- Perform statistical analysis and econometric modelling on market and portfolio datasets
- Build and maintain financial models to support investment and allocation decisions
- Design, test and validate back-testing frameworks for investment strategies
- Work with portfolio management, order management and performance attribution systems to ensure accurate analytics
- Extract, clean and analyse data from Bloomberg and/or Refinitiv market data systems
- Combine fundamental and technical analysis to generate actionable investment insights
- Prepare clear analytical reports and presentations for senior investment stakeholders
What you bring.
- 2-4 years of experience in quantitative research, data science or investment analytics
- Advanced programming skills, with strong proficiency in Python
- Solid grounding in statistical analysis and econometrics
- Working knowledge of financial modelling and portfolio management systems
- Experience with order management platforms and back-testing frameworks
- Hands-on familiarity with market data systems such as Bloomberg and/or Refinitiv
- Understanding of performance attribution and both fundamental and technical analysis
- CFA Level 2 appeared or cleared (preferred)
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