Senior Quantitative Researcher / Data Scientist

Top Skills

• Exp with BLS
• Econometric data
• Time Series Analysis
• Building Forecasting models/ systems -- most important
• Experience building indices

We're seeking a Senior Quantitative Researcher to join an early-stage research initiative focused on discovering and validating predictive financial signals within proprietary datasets.

This is a highly analytical, research-driven role where you'll develop statistical models, perform rigorous backtesting, and help determine the commercial value of new financial insights.

What You'll Do

• Conduct quantitative research using large proprietary datasets.
• Build and validate forecasting models using advanced time series techniques.
• Develop and evaluate predictive financial signals through rigorous backtesting.
• Apply econometric methods and statistical modeling to identify meaningful market relationships.
• Analyze correlations between proprietary data, macroeconomic indicators, and financial markets.
• Present research findings and recommendations to technical and business stakeholders.
• Collaborate with engineering teams as successful research transitions toward production.

What We're Looking For

• Significant experience with time series analysis and forecasting.
• Strong background in econometrics, statistical modeling, and quantitative research.
• Experience designing rigorous backtesting methodologies and preventing look-ahead bias/data leakage.
• Strong Python and SQL skills.
• Experience in financial services, quantitative finance, capital markets, investment research, or asset management.
• Ability to work independently and thrive in an ambiguous, research-oriented environment.