Quantitative Research Analyst

JEG Search LLC • Full-time • Baltimore, MD, US • $140k - $165k / year • 1d ago

As a Quantitative Research Analyst, you will work at the intersection of quantitative finance, data, and machine learning. You will design, prototype, and productionize models — both machine learning and classical statistical / financial — that power the research delivered to our subscribers. You’ll partner with senior quantitative analysts to take ideas from hypothesis to backtest to publication-ready research.

Qualification

sRequire

dBachelor’s degree in Computer Science, Mathematics, Quantitative Finance, Physics, Engineering, Financial Engineering, Statistics, or a similar discipline
.3–5 years of relevant work experience in quantitative finance, data analytics and modeling, or related fields
.Hands-on experience building, validating, and deploying both machine learning models (e.g., scikit-learn, XGBoost, PyTorch or TensorFlow) and classical statistical / econometric models (e.g., statsmodels, time-series methods), with the judgment to choose the right tool for the problem
.Strong programming skills in Python, including pandas, NumPy, and the scientific stack; comfort writing modular, testable code and using Git
.Proficiency with SQL and relational databases (PostgreSQL preferred), including complex joins, window functions, and query performance tuning. Experience designing or contributing to data staging and transformation workflows
.Experience working with financial time-series data and an understanding of common pitfalls (look-ahead bias, survivorship bias, regime changes)
.Familiarity with backtesting frameworks and standard performance / risk metrics (Sharpe, drawdown, turnover, etc.)
.Familiarity with quantitative finance concepts and financial instruments
.Working knowledge of financial statements and fundamental data sufficient to incorporate them as model features
.Excellent communication skills and the ability to collaborate effectively within a dynamic team

.Nice to Hav