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Posted 4 months ago

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Quant Trader

SingaporeOn-siteFull-time

AI Summary

Senior quant trader leading gold and cross-asset strategies, building market-making and arbitrage models, and collaborating with engineering to implement automated execution and risk controls.

About this role

Title: Quant Trader - Fuku

URL Source: https://apply.workable.com/j/B75A968E74

Markdown Content: As the lead for Gold Perpetuals and Cross-Asset Strategies, you will bridge the gap between traditional macro commodity markets and the frontier of crypto-settled derivatives. This role requires a sophisticated blend of discretionary macro insight and systematic market-making logic.

Key Responsibilities

Strategy Alpha: Build and operate high-performance market-making, relative-value, and hedging strategies specifically for Gold Perpetuals.

Quantitative Modeling: Develop robust fair-value models that synthesize macro factors, physical commodity flows, futures curves, and implied volatility structures.

Execution & Optimization: Collaborate with the engineering team to refine automated quoting behavior, latency-sensitive auto-hedging, and protective logic for outlier/black-swan events.

Risk & Inventory Management: Oversee global delta exposure, manage high-leverage positions, and balance multi-venue inventory to ensure capital efficiency.

Market Intelligence: Analyze deep-level funding mechanics, exchange liquidity, and order-book anomalies to exploit market inefficiencies.

Cross-Asset Expansion: Identify and execute arbitrage or directional opportunities across asset classes (e.g., Gold vs. BTC, Equities, and FX).

Requirements

Tenure: 8+ years of professional experience trading Gold or precious metals (Spot, Futures, or OTC).

Domain Expertise: A profound understanding of commodity fundamentals, macro-economic drivers, and volatility dynamics.

Hybrid Skillset: Proven experience in systematic, execution-driven environments combined with strong discretionary judgment.

Technical Proficiency: Hands-on experience with analytical tools (Python, R, or similar) to backtest and refine strategy logic.

Risk Discipline: A track record of managing significant books and high-leverage positions through volatile market cycles.

Collaboration: The ability to communicate complex trading logic to technical teams and developers effectively.

Skills

Auto-hedgingBacktestingCross-asset ArbitrageDelta HedgingFuturesLatency OptimizationLiquidity AnalysisMacro FactorsMarket MakingOptionsOrder Book AnalysisPythonQuantitative ModelingRRisk ManagementVolatility Modeling

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