Remote Quantitative Researcher – Remote Job for residents of United States – Join a Cutting-Edge FinTech Team

We are seeking a talented Quantitative Researcher to develop data‑driven models that power trading strategies and risk management solutions. This fully remote position offers the flexibility to work from anywhere in the U.S. while collaborating with a global team of experts. If you thrive on turning complex data into actionable insights, this role is for you.

About the Role

As a Quantitative Researcher, you will design, test, and implement statistical and machine learning models that uncover market inefficiencies. You will partner with engineers, traders, and product managers to translate research findings into production‑ready systems. The role emphasizes rigorous back‑testing, performance attribution, and continuous model improvement in a fast‑paced, data‑centric environment.

Key Responsibilities

• Develop predictive models using Python, R, or MATLAB to forecast price movements and volatility.
• Conduct extensive statistical analysis, hypothesis testing, and feature engineering on large financial datasets.
• Build and maintain robust back‑testing frameworks to evaluate strategy performance across multiple asset classes.
• Collaborate with software engineers to integrate models into low‑latency trading pipelines.
• Monitor model health, perform periodic recalibration, and communicate results to stakeholders.
• Stay current with academic literature and emerging techniques in quantitative finance.

Requirements

Education & Experience

• Master’s or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Engineering, or a related quantitative field.
• 2+ years of hands‑on experience developing quantitative models for finance, trading, or risk management.
• Proficiency in Python (NumPy, pandas, scikit‑learn, TensorFlow/PyTorch) or R; familiarity with SQL and version control (Git).
• Strong grasp of statistical methods, time‑series analysis, and machine learning algorithms.
• Experience with back‑testing platforms and knowledge of market microstructure is a plus.
• Excellent problem‑solving skills, attention to detail, and the ability to communicate complex ideas clearly.

Preferred Qualifications

• Publications in peer‑reviewed journals or presentations at industry conferences.
• Experience with cloud computing platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Knowledge of alternative data sources and techniques for extracting alpha.

Salary Range

Based on industry standards for mid‑level quantitative researchers in the United States, the expected compensation is $110,000 – $150,000 USD per year, plus performance‑based bonuses and equity opportunities.

Benefits

• 100% remote work – live and work from any location within the United States.
• Comprehensive health, dental, and vision insurance plans.
• 401(k) plan with company match.
• Generous paid time off and company holidays.
• Annual learning and development budget for courses, certifications, and conference attendance.
• Flexible hours with core collaboration windows to accommodate different time zones.
• Wellness stipend for home office setup, fitness, or mental health resources.
• Equity grants aligned with company milestones.

Join a team that values innovation, rigor, and impact. Apply your quantitative expertise to shape the future of finance while enjoying the freedom of a fully remote role.