Quantitative Researcher

Quantitative ResearcherEdgehog Trading is a proprietary trading firm specializing in electronic options market making. We take a technology-driven approach, designing and operating automated, scalable systems to provide liquidity across markets.Our team spans trading, engineering, and business operations, working together to build and support the systems that power the firm. We emphasize data-driven decision making, rigorous problem solving, and continuous improvement to navigate complex and evolving markets.We operate in a highly collaborative environment where ideas can move quickly from concept to implementation, and where individuals are empowered to take ownership and contribute directly to the firm's growth.What You'll Do:Conduct signal, alpha, and feature research to develop models that improve trading strategy performanceDesign, backtest, and iterate on quantitative trading models from ideation through production deploymentAnalyze market microstructure, execution quality, and options pricing dynamics to identify new research directionsCollaborate closely with traders and engineers to translate research findings into live trading systemsUse AI tools actively throughout your research workflow — from exploring datasets and generating hypotheses to accelerating code and stress-testing model assumptionsContribute to research infrastructure: data pipelines, evaluation frameworks, and reproducibility toolingQualifications and Skills:BS, MS, or PhD in a quantitative field — Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or similar1–3 years of research or industry experience in quantitative finance, systematic trading, or applied ML / data scienceStrong programming skills in Python; comfort with numerical libraries (NumPy, pandas, SciPy) and data analysis at scaleSolid foundation in probability, statistics, and machine learningAbility to think rigorously about model assumptions, overfitting risks, and out-of-sample validationComfort with AI-assisted development: you actively use LLMs and other AI tools to move faster, think more clearly, and build betterGenuine curiosity about markets, trading, and how quantitative systems interact with real-world price dynamicsCandidates from data science or applied ML backgrounds are welcome — strong modeling instincts and statistical rigor matter more to us than prior finance experienceWhy Edgehog:Small team advantage: Direct access to founders and senior team members from day oneOwnership early: Manage real P&L and make meaningful impact within your first yearCutting-edge tech: Work with our proprietary models and low-latency trading systems built in-houseTight feedback loops: Weekly 1-on-1s with your mentor, quarterly reviews with leadershipChicago-based: Affordable cost of living, vibrant trading communityBenefits:Comprehensive health, dental, and vision insurance with premiums 100% covered by the firm401(k) with a 4% company matchUnlimited paid time off and sick leaveFree lunch, coffee, drinks, and snacksCommuter benefitsMonthly happy hours and annual team eventsThe base salary range for this position is listed below. Base salary represents just one part of overall compensation; all full-time, permanent roles are eligible for a discretionary bonus and benefits, including items in the above list.The base salary for this role is 120,000 - 175,000 USD per year