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448
Applications:  75
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Job Code

1696192

Univest - Quantitative Research Analyst

Univest.3 - 5 yrs.
rupee20-50 LPA
.Gurgaon/Gurugram
Posted 3 days ago
Posted 3 days ago

Description:


MUST-HAVE QUALIFICATIONS


- 3-5 years of hands-on experience in systematic or algorithmic trading (buy-side or prop desk preferred)


- Strong understanding of Indian equity markets NSE F&O, expiry cycles, Open Interest dynamics, PCR interpretation


- Deep working knowledge of options pricing Black-Scholes, Greeks, IV surface, volatility skew


- Proficient in Python (pandas, numpy, scipy) able to independently write and audit backtest code


- Experience designing and backtesting multi-factor alpha models


- Understands backtest pitfalls look-ahead bias, survivorship bias, overfitting


GOOD-TO-HAVE QUALIFICATIONS


- CFA / FRM / NISM Series VIII (Equity Derivatives) certification


- Experience at a prop trading firm, hedge fund, or quant desk at a brokerage


- Published research on Indian market microstructure or options strategies


- Familiarity with signal frameworks Stochastic RSI, CMF, OBV, Smart Money Concepts (SMC)


- Exposure to GARCH models, regime-switching volatility, or advanced IV estimation techniques


KEY RESPONSIBILITIES


- Refine and evolve the 5-signal regime model add/remove indicators, tune weights, improve conviction scoring


- Design better Implied Volatility estimation methods (e.g., replace rolling realised vol with GARCH or regime-switching vol)


- Improve options strike selection logic move from fixed OTM distance to dynamic selection based on IV regime


- Build delta-hedging and rolling logic for options positions


- Define stress scenarios and edge cases for the risk engine


- Own all 21 backtest scenarios, interpret results, and translate findings into actionable model changes


- Collaborate with the engineering team to productionise validated strategies


- Continuously research and integrate new alpha sources and signal enhancements


TECH & TOOLS


- Python (pandas, numpy, scipy, statsmodels), Jupyter Notebooks


- Node.js / Express (production signal engine)


- Kite Connect v3 API (Zerodha) for market data and execution


- Backtesting frameworks and quantitative analytics tools


- Pine Script (TradingView) for visual strategy prototyping

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Job Views:  
448
Applications:  75
Recruiter Actions:  0

Job Code

1696192