Quantitative Developer

3 days ago


Singapore Nicoll Curtin Full time

This position sits at the intersection of quant engineering, data infrastructure, and research tooling, where you’ll design models, build reusable analytics libraries, optimize large-scale market data pipelines, and turn investment ideas into production-ready Python components. Responsibilities Develop, test, and refine predictive trading signals using statistical and quantitative methods Analyse large, complex datasets to uncover patterns, behaviours, and alpha opportunities Build research tools, data pipelines, and code libraries to support fast experimentation Run backtests, model validations, and scenario analyses to evaluate ideas Collaborate closely with traders and engineers to improve model robustness, execution logic, and overall strategy efficiency Assist in monitoring strategy performance and identifying areas for optimisation Qualifications Prior experience in systematic, algorithmic, or high-frequency trading Strong programming ability (Python and/or C++ preferred), with clean, efficient coding habits Solid grounding in statistics, probability, linear algebra, and quantitative modelling Experience working with large datasets and building analytical workflows Hands‑on exposure to model development, testing, and iteration Curiosity‑driven mindset with the ability to break down problems and run structured experiments Familiarity with distributed systems, CI/CD workflows, or cloud‑based research environments Knowledge of market microstructure or execution optimisation Seniority Level Associate Employment Type Full‑time Job Function Information Technology Industries Capital Markets #J-18808-Ljbffr



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