Remote Quantitative Researcher (Financial Tech) – Leverage Machine Learning to Build Profitable Trading Strategies

We’re seeking a data‑driven quantitative researcher to transform complex market data into actionable algorithms. In this fully remote role, you’ll collaborate with a global team of quants, data scientists, and traders to design, test, and deploy sophisticated models that drive alpha in today’s fast‑moving markets. If you’re passionate about applying cutting‑edge ML techniques to finance, this is your chance to make a measurable impact from anywhere.

About the Role

The Quantitative Researcher will lead the end‑to‑end development of quantitative trading strategies. You’ll analyze historical price data, implement statistical arbitrage, market‑neutral, and deep‑learning models, and evaluate performance against real‑time market conditions. This position requires a blend of rigorous academic thinking and practical coding skills, with an emphasis on delivering reproducible, scalable solutions that can be deployed across multiple asset classes.

Key Responsibilities

• Design and back‑test quantitative models using Python, R, or MATLAB.
• Integrate machine‑learning pipelines (e.g., neural networks, reinforcement learning) for predictive signals.
• Conduct statistical analysis to validate hypothesis and reduce transaction costs.
• Collaborate with engineering teams to implement models in low‑latency trading systems.
• Produce detailed research reports and present findings to senior stakeholders.
• Maintain version‑controlled codebases and ensure robust documentation.

Requirements

To excel in this remote quantitative researcher position, you should possess:

• A Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field (Master’s or Ph.D. preferred).
• 3+ years of experience in quantitative analysis, algorithmic trading, or financial modeling.
• Strong programming skills in Python (NumPy, pandas, scikit‑learn) and familiarity with R or MATLAB.
• Hands‑on experience with ML frameworks such as TensorFlow, PyTorch, or Keras.
• Solid understanding of financial concepts: risk management, portfolio theory, and market microstructure.
• Excellent written and verbal communication, plus the ability to work autonomously across time zones.

Salary Range

$70,000 – $95,000 USD per year, commensurate with experience and expertise. The role also includes performance bonuses and equity options for high‑performing candidates.

Benefits

• Fully remote work from any location in the U.S.
• Competitive health, dental, and vision plans.
• Generous PTO and flexible hours.
• Professional development stipend and conference attendance.
• State‑of‑the‑art home office equipment and high‑speed internet allowance.
• Inclusive, collaborative culture with regular virtual hackathons and knowledge‑sharing sessions.

About the Company

We are a fast‑growing fintech startup that leverages AI to democratize sophisticated investment strategies for institutional and retail clients. Backed by leading venture capital, our platform processes billions of dollars daily, powered by a team of passionate quants, engineers, and financial experts. Our mission is to make advanced quantitative insights accessible, transparent, and profitable for everyone.

How to Join

If you’re ready to shape the future of finance with cutting‑edge quantitative research, send your resume, a brief cover letter highlighting your most impactful quantitative projects, and any relevant GitHub or research links to careers@quantfinance.io. We look forward to reviewing your application and exploring how your expertise can drive our next wave of growth.