Quantitative Risk Manager
At a glance
Manager-level Risk & Financial Compliance role at IMC. Mumbai.
Pay not stated Risk Manager salary
financeroles summary, based on the employer's posting.
What you'll do
- Measure exposure across trading activity and work with desks on strategy changes or ways to reduce risk
- Build independent backtests that test trading strategies using risk-adjusted measures such as Sharpe and Sortino
- Follow market events and macro releases, then stress-test the trading book against possible scenarios
- Develop Python risk tools, deploy controls with global teams, and improve incident processes and governance
- Check compliance with regulatory rules and internal policies, and train traders to use risk tools and methods
What you bring
- At least three years in capital markets, such as work at a trading firm, bank or asset manager
- A strong academic record and a bachelor's or master's degree in a quantitative discipline
- Python skills applied to data analysis, scripting and building dashboards or tools
- Knowledge of options, including Greeks, volatility and pricing, plus experience managing risk across equities, futures and options
Who this fits
This manager role suits someone who can challenge traders constructively and communicate clearly. You'll work with trading desks and global risk, software and data teams in a fast-paced, high-pressure setting. The role is based in Mumbai, India.
From the employer
IMC is looking for a Quantitative Risk Manager to join our growing Risk team in Mumbai. You will identify and assess risks across our trading activities, design appropriate controls, and build the metrics and tools we use to monitor market and operational risk
Your Core Responsibilities:
- Monitor and measure the market risk exposure of our trading activities, partnering closely with trading desks to recommend strategy adjustments and risk mitigation ahead of adverse events
- Build independent backtesting models to challenge trading strategies, evaluating performance with risk-adjusted metrics such as Sharpe, Sortino and Calmar ratios
- Track market developments and the macro calendar, and run stress tests and scenario analyses to assess potential impacts on the trading book
- Utilize Python-based tools and libraries for stress testing, and scenario analysis as well as generally designing and contributing to local risk management tooling
- Work with global risk, trading, software development and data engineering teams to design and deploy risk controls within IMC’s proprietary global risk management and trading systems
- Drive the operational incident management process with key stakeholders to structurally improve infrastructure, processes and governance
- Ensure adherence to regulatory requirements and internal risk policies
- Train and support traders on risk tools, methodologies and best practices
Your Skills and Experience
- 3+ years of relevant experience in capital markets, e.g. at a trading firm, bank or asset manager
- Bachelor's or master's degree in a quantitative field, with strong academic performance
- FRM/ CFA/ CQF preferred but not required
- Proficiency in Python, with demonstrated experience in data analysis, scripting, and dashboard or tool development
- Strong understanding of options theory, including Greeks, volatility, and pricing dynamics
- Excellent verbal and written communication skills, with the confidence to challenge traders constructively
- A proactive problem-solver who thrives in a fast-paced, high-pressure environment
- Experience analysing and managing risk across a portfolio of equities, futures, and options
- Familiarity with stress testing methodologies and risk management frameworks
About Us
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.
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