Data Science and Risk Management Specialist

4 days ago


Mumbai, Maharashtra, India Nuvama Group Full time

At Nuvama Group, we are seeking a highly skilled Data Scientist to join our team. As a Data Scientist and Risk Management Specialist, you will be responsible for developing and implementing advanced market risk models to monitor key risk factors such as volatility, liquidity, and Value-at-Risk (VaR).

You will conduct stress tests and scenario analyses to evaluate the potential impact of extreme market events on client portfolios. Your key responsibility will be to prepare detailed reports for senior management, regulators, and internal departments, ensuring that data analysis supports decision-making processes.

In addition, you will continuously monitor and update reports to reflect changes in market conditions, risk exposures, and portfolio performance. You will partner with internal teams to ensure that risk management processes are integrated into everyday operations and decision-making.

This role requires strong knowledge of Capital Markets and Derivatives Products, as well as experience with risk management tools and software for analyzing, tracking, and reporting risk exposures. Proficiency in MS Office, including Excel and PowerPoint, is also essential, along with strong skills in data analysis and presentation creation.

A degree in B.E/B.Tech from IITs/VIT/BITS or any top-tier institution is required, with 5-8 years of relevant experience. If you have a passion for data analysis, risk management, and communication, we encourage you to apply for this exciting opportunity.

Estimated salary: $120,000 - $180,000 per annum.

Key Responsibilities
  • Develop and implement advanced market risk models to monitor key risk factors
  • Conduct stress tests and scenario analyses to evaluate potential impact of extreme market events
  • Prepare detailed reports for senior management, regulators, and internal departments
  • Continuously monitor and update reports to reflect changes in market conditions, risk exposures, and portfolio performance

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