Senior Quantitative Researcher / Lead Data Scientist

JOB SUMMARY 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. This is not a traditional production Data Science role. You'll spend most of your time conducting quantitative research, building forecasting models, validating hypotheses, and communicating findings that may ultimately evolve into a production solution. Key Responsibilities 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. Required Qualifications 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. Preferred Qualifications Exp with BLS Econometric data Time Series Analysis Building Forecasting models/ systems -- most important Experience building indices Financial Markets | Time Series Forecasting | Econometrics Education: Doctoral Degree

Compunnel Inc., established in 1994; is a leading provider of Staffing, IT/Software, e-Learning/Training, Business Intelligence, and Cloud Solutions. A leader in contingent and permanent workforce solutions, we also provide temp-to-hire staffing, project-based/SOW staffing, and payroll services to our esteemed clientele which includes Fortune 500 companies of diverse industry segments. Ranked as one of the largest staffing firms in the US which is our primary service market; we also have a significant presence in Europe and Asia. As a national service provider in the US, we are serving our customers all major states and regions; thereby generating numerous job opportunities for prospective employees in their preferred locations of choice.

We have witnessed multi-fold YOY growth, and continuously adding a large pool of talented resources to our employee base every year. Our extensive experience in hiring professionals of multiple in-demand skill sets (IT, Engineering, Healthcare, Admin-Clerical, Finance, Professional, Light Industrial, etc.) further makes Compunnel a wider and preferred platform for people to pursue their careers in the US. We welcome people from all walks of life and cultures, and we support workforce diversity by providing equal employment opportunities to people without any discrimination based on race, color, gender, religion, national/ethnic region, disability, or any other basis.