Remote Quantitative Researcher – US‑Based Talent Wanted! – Join a Cutting‑Edge FinTech Team

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Are you a data‑driven problem solver with a passion for statistical modeling and finance? Our award‑winning FinTech company is scaling its research arm and needs a top‑tier Quantitative Researcher who thrives in a 100% remote setting. Shape algorithmic strategies, influence product roadmaps, and work alongside world‑class scientists—all from the comfort of your home office.

Salary Range

$95,000 – $130,000 USD per year (based on experience, expertise, and market benchmarks for senior quantitative roles in the United States).

About the Role

As a Remote Quantitative Researcher, you will design, develop, and validate mathematical models that drive our trading, risk‑management, and product‑optimization platforms. You’ll partner with engineers, data scientists, and product managers to translate raw data into actionable insights and robust quantitative solutions.

Key Responsibilities

• Develop and back‑test statistical and machine‑learning models for asset pricing, risk assessment, and algorithmic trading.
• Conduct rigorous data exploration, cleaning, and feature engineering on large, high‑frequency datasets.
• Collaborate with software engineers to implement research prototypes into production‑ready pipelines.
• Publish research findings in internal white‑papers and, when appropriate, external peer‑reviewed journals.
• Monitor model performance in real‑time, perform drift detection, and iterate improvements.
• Stay current with academic advances in econometrics, reinforcement learning, and stochastic calculus.

Requirements

• Ph.D. or Master’s degree in Statistics, Applied Mathematics, Computer Science, Physics, Quantitative Finance, or a related field.
• 5+ years of professional experience building quantitative models for finance, trading, or related industries.
• Proficiency in Python (NumPy, pandas, scikit‑learn, PyTorch/TensorFlow) and statistical packages such as R or MATLAB.
• Strong foundation in probability theory, time‑series analysis, econometrics, and stochastic processes.
• Demonstrated ability to work independently, manage multiple research streams, and meet tight deadlines in a fully remote environment.
• Excellent written and verbal communication skills; ability to explain complex concepts to non‑technical stakeholders.

Preferred Qualifications

• Experience with high‑frequency data, market microstructure, or alternative data sources.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Publications in top‑tier quantitative finance or machine‑learning conferences.
• Knowledge of C++ or Java for performance‑critical code.

Benefits & Perks

• Fully remote work – no commute, flexible hours, and a home‑office stipend.
• Competitive salary with annual performance bonuses.
• Comprehensive health, dental, and vision coverage for you and your dependents.
• 401(k) plan with company matching.
• Generous paid time off, parental leave, and sick days.
• Professional development budget for conferences, certifications, and online courses.
• Monthly “Research Days” to explore innovative ideas outside of day‑to‑day tasks.

How We Work Remotely

Our remote‑first culture is built on clear communication, trust, and results. Teams collaborate through Slack, Zoom, and an internal knowledge base. Quarterly virtual retreats foster camaraderie, while weekly “stand‑up” meetings keep projects on track. We provide a secure VPN, high‑speed internet subsidies, and ergonomic equipment allowances to ensure your home office is as effective as a corporate lab.

Career Growth

We invest in our researchers’