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Quantitative Trader / Developer — Capital Markets

Openfx - Bangalore, India - Hybrid - posted 2026-09-15

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OpenFX is building infrastructure to enable cross-border payments for institutions, with a mission to move money as freely as data across time zones and legacy systems. The company is backed by top-tier investors (Accel, Lightspeed, NfX) and has assembled a team with experience from JP Morgan, Goldman Sachs, FalconX, PayPal, Affirm, Polygon, Kraken, and Nium. You will join the Capital Markets team as a Quantitative Trader/Developer, working on trading, hedging, and market-making strategies across stablecoin and FX business lines. This is a hybrid role based in Bangalore or London, with direct collaboration with the trading desk. Key responsibilities include: - Developing, maintaining, and improving trading and hedging strategies from idea through live execution, with full ownership of P&L outcomes - Owning the reliability, observability, and operational performance of live trading systems; serving as primary responder to production incidents - Building and improving internal tools, dashboards, alerts, and automation to reduce manual intervention and ensure safe testing and deployment - Researching market microstructure and translating analysis into competitive edges - Engaging in full-cycle trading development: research, coding, testing, and production deployment - Bringing unprompted ideas to the desk and defending them with data You will be evaluated on the strategies you ship and the P&L they generate. Your manager acts as a sounding board on trades, not an assignment-giver; you operate with high agency and independence. Requirements: - 3+ years solving hard problems through code with real metrics and impact in industry - Strong development skills in Python and/or C++ - Proven experience in market making, prop trading, or trading-adjacent quant roles (must have both written code and owned trading decisions on the same strategy) - Probabilistic thinking and mathematical reasoning with ability to react quickly to rapidly changing markets - Comfort with abstract, ambiguous problems; self-directed learning of new domains (venues, asset classes, infrastructure) - Reliable availability around scheduled market-moving events - Extreme attention to detail and competitive spirit Preferred qualifications: - Experience at prop trading firms, HFT shops, or crypto market makers (Jane Street, Two Sigma, XTX, Jump, Wintermute, Cumberland/DRW, or similar) - Research background in statistics or machine learning - Experience with on-chain derivatives, DeFi perp venues, or cross-venue arbitrage - Background in stablecoin infrastructure, settlement rails, market microstructure, options pricing, or systematic FX trading

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