Remote Quant Research Intern — Production Models

Wayne State University; United States; Remote; USD 100,000 - 140,000; Full time

Benefits offered by this job

Collaborative environment

Direct collaboration with founders

Exposure to multiple disciplines

Job summary

A pioneering technology firm is seeking a Quantitative Researcher to contribute to their trading and forecasting systems. This role involves designing and deploying models that drive live trading, requiring expertise in quantitative modeling, machine learning, and time-series forecasting. Candidates should possess strong analytical skills and a focus on empirical rigor. The position is remote within the U.S. and offers collaboration with founders and engineers, ensuring that research directly impacts production strategies.

Qualifications

• Proven experience in quantitative modeling and time-series forecasting.
• Strong skills in machine learning techniques and methods.
• Demonstrated ability to develop predictive models and backtest strategies.

Responsibilities

• Develop and validate predictive models spanning time-series and ML techniques.
• Build factor libraries and feature pipelines grounded in statistical rigor.
• Collaborate directly with leadership on research direction and model architecture.

Skills

Quantitative Modeling

Machine Learning for Signals

Probability and Statistics

Python

Job description

A pioneering technology firm is seeking a Quantitative Researcher to contribute to their trading and forecasting systems. This role involves designing and deploying models that drive live trading, requiring expertise in quantitative modeling, machine learning, and time-series forecasting. Candidates should possess strong analytical skills and a focus on empirical rigor. The position is remote within the U.S. and offers collaboration with founders and engineers, ensuring that research directly impacts production strategies.