Market Risk Specialist

Role Purpose
To manage and strengthen trading risk controls for Indian equity markets, covering cash equities, derivatives, electronic trading, trading strategies, and portfolio risk.
Key Responsibilities / KRAs
Monitor market, trading, liquidity, concentration, counterparty, and model risks across equity portfolios.
Define and monitor trading limits, exposure limits, stop-loss limits, margin utilisation, and drawdown thresholds.
Oversee pre-trade and post-trade risk controls for electronic and algorithmic trading.
Conduct VaR, stress testing, scenario analysis, and sensitivity analysis for Indian equity portfolios.
Review and back-test trading strategies, models, and risk parameters.
Develop risk dashboards and tools for real-time monitoring and management reporting.
Partner with Trading, Technology, Quantitative Research, Operations, Compliance, and Model Validation teams.
Ensure alignment with SEBI, NSE, BSE, and internal risk governance requirements.
Identify risk exceptions, investigate breaches, and recommend timely corrective actions.
Support the development of risk frameworks for new products, strategies, and trading platforms.
Improve risk reporting, data quality, automation, and visualisation using Python, SQL, Excel, Tableau, or similar tools.
Present key risk trends and issues to senior management and risk committees.
Candidate Profile
8–12 years of experience in market risk, trading risk, quantitative risk, or electronic trading risk.
Strong understanding of Indian equity markets, including cash, futures, options, and algorithmic trading.
Experience in market risk models, VaR, stress testing, back-testing, and trading controls.
Knowledge of counterparty credit risk, margining, exposure, and liquidity risk.
Strong understanding of risk governance, regulatory frameworks, and control environments.
Proficiency in Python, SQL, Excel, Tableau, KDB, Bloomberg, or similar tools.
Strong analytical, communication, stakeholder management, and problem-solving skills.
Postgraduate qualification in Statistics, Mathematics, Quantitative Finance, Financial Engineering, or a related discipline.

Work arrangement
No