Remote Quantitative Researcher – Join a Cutting‑Edge Data Science Team

Are you passionate about turning massive data sets into actionable insights? Our fast‑growing fintech firm is seeking a top‑tier Quantitative Researcher to work from anywhere in the United States and help shape the next generation of algorithmic trading strategies.

Salary Range

Estimated total compensation: $95,000 – $130,000 USD/year (base salary plus performance‑based bonuses and equity).

About the Role

As a Remote Quantitative Researcher, you will be at the heart of our research engine, designing, testing, and deploying statistical models that drive real‑time trading decisions. You will collaborate with data engineers, software developers, and senior traders to transform raw market data into predictive signals. This is a fully remote position, allowing you to work from the comfort of your home office while staying connected through our modern collaboration stack (Slack, GitHub, JupyterHub, and Zoom).

Key Responsibilities

• Develop and refine mathematical models using time‑series analysis, machine learning, and stochastic calculus.
• Conduct rigorous back‑testing and validation of strategies across multiple asset classes.
• Write clean, well‑documented Python and R code that integrates with our production pipelines.
• Present research findings to senior leadership and translate complex results into actionable recommendations.
• Stay current with academic literature and industry trends to continuously innovate.

Requirements

• Master’s or Ph.D. in Mathematics, Statistics, Physics, Computer Science, or a related quantitative field.
• 3+ years of hands‑on experience building quantitative models for finance, trading, or risk management.
• Proficiency in Python (NumPy, pandas, scikit‑learn) and/or R; familiarity with C++ is a plus.
• Strong background in probability theory, linear algebra, and optimization techniques.
• Experience with large‑scale data processing tools such as SQL, Spark, or Hadoop.
• Excellent communication skills – ability to explain complex concepts to non‑technical stakeholders.
• Self‑motivated, disciplined, and comfortable working independently in a fully remote environment.

Preferred Extras

• Publications in peer‑reviewed journals or conferences.
• Knowledge of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Previous exposure to high‑frequency trading or market microstructure.

Benefits & Perks

• 100% remote work – set your own schedule and eliminate commuting.
• Competitive salary with quarterly performance bonuses.
• Equity participation – become a true owner of the company’s success.
• Health, dental, and vision insurance with HSA contributions.
• Generous PTO, unlimited sick days, and paid holidays.
• Professional development stipend for conferences, courses, or certifications.
• Home office allowance for ergonomic furniture and high‑speed internet.
• Collaborative culture with weekly virtual coffee chats, hackathons, and mentorship programs.

Why Join Us?

Our team blends academic rigor with real‑world trading expertise, fostering an environment where curiosity is rewarded and ideas move from notebook to production in days, not months. As a remote Quantitative Researcher, you will have direct impact on the firm’s profitability while enjoying the flexibility of a location‑independent career.

How to Apply

If you thrive on data‑driven problem solving and want to influence market‑leading strategies from anywhere in the U.S., submit your resume, a concise cover letter, and a short portfolio of past projects or publications. We review applications on a rolling basis and aim to respond within 10 business days.