Remote Quantitative Researcher – Work From Anywhere – Join a Cutting‑Edge Analytics Team

Are you passionate about turning complex data sets into actionable insights? Our fast‑growing fintech firm is seeking a remote Quantitative Researcher to design, test, and implement statistical models that drive strategic decisions worldwide. If you thrive in an autonomous, high‑impact environment, this is your chance to shape the future of data‑powered finance.

Salary Range

Estimated compensation: $95,000 – $130,000 USD per year, plus performance bonuses and equity options.

About the Role

As a Remote Quantitative Researcher, you will partner with product managers, engineers, and senior traders to develop predictive algorithms, risk models, and pricing tools. Your research will directly influence trading strategies, risk‑management frameworks, and new product development across multiple asset classes.

Key Responsibilities

• Design, code, and validate statistical and machine‑learning models using Python, R, or MATLAB.
• Collect, clean, and explore large‑scale financial datasets (tick‑by‑tick, alternative data, macro feeds).
• Perform rigorous back‑testing and stress‑testing to ensure model robustness.
• Document methodology, assumptions, and results in clear, reproducible research reports.
• Present findings to cross‑functional stakeholders and iterate based on feedback.
• Stay current with academic research and industry best practices, integrating novel techniques when appropriate.

Requirements

Essential Qualifications

• Master’s or Ph.D. in Mathematics, Statistics, Physics, Computer Science, or a related quantitative field.
• 3+ years of professional experience building quantitative models in finance, tech, or research labs.
• Proficiency in Python (NumPy, pandas, scikit‑learn) or R; familiarity with SQL and cloud data platforms (AWS, GCP, Azure).
• Strong foundation in probability theory, stochastic calculus, time‑series analysis, and optimization.
• Excellent problem‑solving skills and the ability to communicate complex concepts to non‑technical audiences.

Preferred Extras

• Experience with high‑frequency data, market microstructure, or cryptocurrency markets.
• Knowledge of deep learning frameworks (TensorFlow, PyTorch) for sequence modeling.
• Publications in peer‑reviewed journals or conference presentations.
• Familiarity with version control (Git) and agile development practices.

Benefits & Perks

• 100% remote – work from any location with a reliable internet connection.
• Flexible hours; choose the schedule that maximizes your productivity.
• Generous PTO, sick leave, and paid holidays.
• Company‑wide health, dental, and vision plans with HSA contributions.
• Annual professional development budget for conferences, courses, or certifications.
• Equity participation and quarterly performance bonuses.
• Collaborative virtual culture: weekly coffee chats, hack weeks, and mentorship programs.

Why Join Our Team?

Our firm blends the agility of a startup with the resources of a global institution. As a remote Quantitative Researcher, you’ll have direct access to senior leadership, cutting‑edge data pipelines, and a culture that values curiosity over hierarchy. We empower you to experiment, fail fast, and iterate—turning bold ideas into market‑moving solutions.

How to Stand Out

In your application, include a concise portfolio or GitHub link showcasing at least one end‑to‑end quantitative project (data acquisition, model development, back‑testing, and results interpretation). Highlight any real‑world impact—such as improved prediction accuracy, reduced risk exposure, or revenue generation.

Next Steps

If you’re ready to bring your analytical expertise to a dynamic, fully remote environment, submit your résumé, a brief cover letter, and your portfolio link. Our talent acquisition team will review your materials and schedule a video interview with the research leadership team.