Quantitative Researcher

Location: RemoteEmployment type: Full-timeAbout the roleWe are hiring a Quant Researcher to design, test, and deploy systematic trading research for a hedge fund strategy. You will work closely with trading, engineering, and data teams to turn ideas into production-ready signals and models.What you will doResearch alpha signals across equities, futures, options, FX, or crypto (depending on our focus)Build and evaluate predictive models and statistical arbitrage strategiesDesign robust backtests with proper transaction costs, slippage, and risk controlsPerform feature engineering on large, noisy datasetsMonitor model performance and iterate based on live resultsDocument research clearly and communicate findings to stakeholdersWhat we are looking forMinimum 2yr Experience in the below-mentioned skillsStrong programming skills in Python (NumPy, pandas, scikit-learn), and strong statisticsExperience with time series modeling, optimization, and hypothesis testingSolid understanding of market microstructure and common backtesting pitfallsAbility to work with large datasets and write clean, reproducible researchBachelor’s, Master’s, or PhD in a quantitative field (CS, Math, Stats, Physics, Engineering, or similar)Nice to haveExperience with portfolio construction, risk models, and execution researchExperience with Rust, C++, or smart contract developmentFamiliarity with cloud tooling and data pipelines (AWS, GCP)CompensationCompetitive, based on experience. Performance-linked bonus may apply.