Quantitative Research Analyst — Systematic Investing

Potomac; Bethesda (MD); On-site; USD 60,000 - 115,000; Full time

Benefits offered by this job

Discretionary bonus

Job summary

Potomac is seeking an experienced quantitative investment professional to support the development and enhancement of systematic investment strategies, portfolio construction, and risk management across our investment platform. Working with senior members of the investment team, you will evaluate ideas, backtest models, and translate data-driven insights into better outcomes for advisors and investors.

This role demands strong Python skills, a rigorous research mindset, and the ability to

Qualifications

• 4–8 years of relevant investment, quantitative research, asset management, or portfolio analytics experience.
• Strong Python skills and experience working with financial datasets.
• Ability to analyze investment results and communicate findings clearly to both quantitative and non-quantitative audiences.
• Demonstrated intellectual curiosity and genuine interest in financial markets.

Responsibilities

• Conduct quantitative research to support development, testing, and enhancement of systematic investment strategies.
• Analyze equities, fixed income, commodities, currencies, ETFs, and other liquid markets.
• Build, test, and maintain factor, trend, momentum, and risk-based models.
• Prepare research and recommendations for review by senior investment leadership and the Investment Committee.
• Support portfolio allocation and strategy evaluation through quantitative analysis.

Skills

Quantitative research

Backtesting

Data analysis

Financial markets

Independent work

Communication

Research planning

Education

CFA designation or progress toward CFA

Advanced degree in finance/economics/mathematics/statistics/engineering/computer science

Tools

Python

Data visualization

Job description

Potomac is seeking an experienced quantitative investment professional to support the development and enhancement of systematic investment strategies, portfolio construction, and risk management across our investment platform. Working with senior members of the investment team, you will evaluate ideas, backtest models, and translate data-driven insights into better outcomes for advisors and investors.

This role demands strong Python skills, a rigorous research mindset, and the ability to