Quant Analyst, Research & Development

भूमिका के बारे में

We're hiring a Quant Analyst who writes code as naturally as they read a payoff chart. Our financial-markets clients run arbitrage and options books across Indian and US derivatives, and we build their RMS dashboards, settlement engines and trading tools. You'll research how those books behave and build the software that makes the answers visible.

Most of your week goes into research and development: pulling data from broker APIs, writing analysis in Python, testing ideas against history, and shipping the result as a dashboard, a risk model or an alert. The rest is monitoring, watching live exposure, margin and slippage, so every tool you build is tested against real markets, not just backtests.

जिम्मेदारियों

• Build Python tools for risk and research, payoff and scenario engines, Greeks and exposure calculators, position-sizing and slippage models, that run on live broker data
• Research market behaviour and strategy performance across NIFTY, SENSEX and SPX derivatives, expiry-day dynamics, volatility regimes, drawdowns, and turn findings into models, reports and backtests
• Develop data pipelines on broker APIs (Dhan, Zerodha Kite Connect, XTS and others) to ingest positions, orders, fills and market data into clean, queryable datasets
• Design and build dashboards with our engineering team, owning the metrics, calculations and alert logic behind every chart
• Measure execution quality: model slippage against expected fills and study how it varies by strike, expiry, liquidity and time of day
• Monitor live books, exposure, margin utilisation, MTM and Greeks, and flag breaches and anomalies to the desk, feeding what you see back into the tools
• Use AI tools like Claude as your default coding and research partner, to write and review code, query data and automate repetitive analysis

आवश्यकताएं

• 1–3 years in a quant, trading, risk or data role, or equivalent proof of work such as backtesting code, research notebooks or dashboards you can walk us through
• Strong Python: pandas, NumPy, clean modular code, and plotting with matplotlib or Plotly; comfortable with Git and reading other people's code
• Hands-on with at least one broker API, Dhan, Zerodha Kite Connect, XTS, Ventura, Sharekhan or similar, for positions, orders or market data
• Solid derivatives knowledge: options pricing, Greeks, payoff profiles, margin (SPAN and exposure) and expiry mechanics
• Research experience on Indian index derivatives (NIFTY, SENSEX, BANKNIFTY) and familiarity with US index options such as SPX
• Comfortable with risk and execution metrics, drawdown, VaR, concentration, slippage, and able to explain each in plain language
• Advanced Excel for quick models and sharing work with the desk
• Uses AI tools like Claude day-to-day for code and analysis, and knows where to double-check their output

के लिए अच्छा