Regulatory Risk Lead

2 weeks ago

Mumbai, India Nuvama Group Full time

Risk Lead – Proprietary Trading Desks: Listed derivatives (index & single-stock options), OTC exotics/structured products, Equity and Debt Own end-to-end market risk for a multi-strategy prop desk. Design/enforce limit frameworks, monitor intraday Greeks, run VaR/ES and stress programs, validate pricing models, and operate RMS/OMS controls with rapid incident response (kill-switch). Intraday Risk & Limits: Real-time delta/gamma/vega/theta; IV shifts, skew/term stresses. Calibrate hierarchical limits (gross/notional, net, single-name, sector, beta, vega buckets , drawdown, liquidity). Risk Measurement: back-testing and exceptions. IV ±X%, skew twist, term-structure shifts, jump/gap, correlation breakdown, liquidity haircuts, exchange-margin hikes. Funding & margin forecasting (SPAN/VAR, ELM, ad-hoc), peak/intraday calls. OTC Exotics Risk: Barriers (KI/KO), autocallables, cliquets, digitals (single/dual), quanto, Asians, variance/vol swaps. Method choice (lattice/trees, Monte Carlo, local/stochastic vol). Model-risk governance, reserves, P&L explain . Adhere to SEBI and NSE/BSE risk/algo norms (peak margin, OTR, trade/position limits). Data & Tooling: Dashboards for Greeks, VaR/ES, stress heatmaps, limit consumption; Partner with Quants/Tech to validate pricers/Greeks and data pipelines; enforce data quality (corp actions, IV surfaces, auctions, borrow/SLB). Governance & Stakeholders: Run risk forums; publish daily risk packs; train traders on limit hygiene, scenario discipline, margin economics. Must-Have Experience & Skills ~5–8 years in market risk with 3–5 years hands-on coverage of listed options and OTC exotics/structured products on a prop or sell-side trading desk. ~ Strong options theory (smile/skew/term), vol dynamics, scenario design, Greek aggregation, VaR/ES, and back-testing. ~ auctions, lot sizes, timings) and exchange/SEBI risk & algo requirements. ~ Python (NumPy/Pandas/SciPy), SQL, advanced Excel; Bonus: kdb+/q, C++/Rust for pricer validation; cloud for risk jobs.) Bachelor’s in Engineering (CS/EE/ME/IE) or STEM (Mathematics, Statistics, Physics, Economics), and Master’s in Statistics / Applied Mathematics / Financial/Computational/Quantitative Finance / Data Science , or MBA (Finance) from a recognized institution with demonstrable derivatives/risk coursework and hands-on options exposure. Evidence of quant foundation expected: probability/statistics, time-series/econometrics, stochastic processes/Itô calculus (working intuition), numerical optimization, Monte Carlo, and PDE-based pricing methods. Zero material regulatory breaches; VaR back-testing exceptions within policy; model-risk findings closed on time; %

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