Senior Quant Researcher

Connecting senior Global Markets Talent across APAC || Co-Founder of Expat Dads || Ex - Bank of America || Quant || Trading || VC/PE || Hedge Fund ||… This is a front-office research mandate, offering direct impact on live trading strategies and access to extensive data infrastructure, HPC clusters, and cross-asset datasets. Overview We are engaged by one of the most successful quantitative trading firms globally to identify a Senior Quantitative Researcher to join its systematic trading team. The firm deploys large-scale capital across global markets, leveraging statistical, econometric, and machine-learning-based models to generate alpha across asset classes. Ideal Background 5–12 years’ experience at a Tier-1 quant platform Demonstrable PnL contribution or model ownership within a production trading environment. Ability to bridge research, implementation, and execution seamlessly. Evidence of strong publication, Kaggle ranking, or open-source contribution is a plus. Design, test, and implement short- to medium-term alpha models in equities, futures, FX, or digital assets. Leverage econometric, statistical, and ML frameworks to identify predictive signals and inefficiencies. Build robust research pipelines with rigorous validation (cross-validation, out-of-sample tests, walk-forward analysis). Evaluate model stability, signal decay, and execution impact under various market regimes. Collaboration with PMs / Tech Partner with portfolio managers and developers to translate signals into executable strategies. Work closely with engineers to optimize compute resources and data handling. Data Science & Engineering Source, cleanse, and structure large alternative and market datasets (tick-level, news, sentiment, etc.). Build high-performance data ingestion and feature-engineering pipelines. Conduct post-trade analysis to measure drift, slippage, and performance attribution. Publish internal research notes and mentor junior quants in model governance and reproducibility. Education PhD or MSc in Mathematics, Physics, Computer Science, Statistics, Financial Engineering, or related quantitative field from a top-tier institution (e.g., MIT, Stanford, Cambridge, Oxford, ETH, Tsinghua). Programming Exceptional proficiency in Python and C++ (or C#/Java), with strong numerical libraries (NumPy, pandas, PyTorch, TensorFlow, scikit-learn). Statistics & ML Deep understanding of probability, time-series modelling, regression, stochastic calculus, and ML methods (GBM, XGBoost, random forests, reinforcement learning). Data Handling Experience with large-scale datasets, distributed systems (Spark, Hadoop, Dask), and advanced SQL or kdb+/q. Financial Domain Knowledge Proven experience designing alpha signals, risk models, or execution models in a systematic or market-making context. Expected Research Impact α (annualized) ≥ 5% with SR ≥ 2.0 over 3-year rolling window; model turnover < 0.5x/day; drawdown < 3%. Seniority level Mid-Senior level Employment type Full-time Job function Finance and Research Referrals increase your chances of interviewing at Newbridge by 2x Sign in to set job alerts for “Quantitative Researcher” roles. Quant Researcher (Systematic Futures) - Global Prop Trading Firm Quantitative Researcher (HFT Alpha Generation) Senior Quantitative Researcher – Intraday Equities Alpha Quantitative Analyst - Vice President - SINGAPORE Junior Crypto Quantitative Researcher (2–3 YOE) Platform Specialist – Quant fund – Singapore - Up to $220,000 Starting base + Exceptional benefits/bonus package AVP/VP, Fixed Income and Multi Asset, Macro Quant (FX and Rates) - Portfolio Manager Binance Accelerator Program - Quantitative Researcher SSG Jobs-Skills Research & Analytics Traineeship ( ) Research Fellow, Dept of Analytics and Operations Queenstown, Central Singapore Community Development Council, Singapore 1 month ago GenAI Data Engineer/Scientist (Financial Services), Manager/Senior Consultant, Technology Consulting Senior Quantitative User Experience Researcher (Frontend) (Bangkok-based, Relocation provided) We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr