Remote Quantitative Researcher – Join a Cutting‑Edge Data Team

Are you passionate about turning raw data into actionable insights? Our fast‑growing fintech firm is looking for a brilliant quantitative mind to help shape algorithmic strategies from anywhere in the United States. Work from home, collaborate with world‑class scientists, and see your models drive real‑world financial decisions.

Salary Range

$95,000 – $130,000 USD per year (based on experience, education, and proven performance). Bonus potential and equity participation are also part of the total compensation package.

About the Role

As a Remote Quantitative Researcher, you will be at the heart of our data science engine. You’ll design, develop, and validate statistical models that power trading algorithms, risk assessments, and product recommendations. This position offers full autonomy: you’ll define research questions, select data sources, and present findings to senior leadership—all while enjoying the flexibility of a home‑based office.

Key Responsibilities

• Develop and implement advanced quantitative models using Python, R, or MATLAB.
• Conduct rigorous back‑testing and validation of trading strategies.
• Collaborate with data engineers to acquire, clean, and structure large‑scale datasets.
• Publish research papers, internal white‑papers, and technical blog posts.
• Present insights to cross‑functional teams, translating complex statistics into clear business recommendations.
• Stay current with academic literature and emerging techniques in machine learning, time‑series analysis, and econometrics.

Requirements

• Master’s or Ph.D. in Mathematics, Statistics, Computer Science, Physics, or a related quantitative field.
• 3+ years of professional experience building statistical or machine‑learning models, preferably in finance or a data‑intensive industry.
• Proficiency in Python (NumPy, pandas, scikit‑learn) or R; familiarity with SQL and cloud platforms (AWS, GCP, Azure) is a plus.
• Strong foundation in probability theory, stochastic processes, and econometric methods.
• Demonstrated ability to work independently, manage multiple research projects, and meet tight deadlines.
• Excellent written and verbal communication skills; experience presenting to non‑technical audiences.

Preferred Extras

• Experience with high‑frequency data, order‑book dynamics, or market microstructure.
• Publications in peer‑reviewed journals or conference proceedings.
• Knowledge of GPU‑accelerated computing (CUDA, TensorFlow, PyTorch).
• Familiarity with version‑control (Git) and collaborative coding environments (GitHub, GitLab).

Benefits

• Fully remote work: Choose your own schedule and set up a home office that works for you.
• Competitive compensation: Salary, performance bonuses, and stock options.
• Health & wellness: Comprehensive medical, dental, vision plans, and a generous HSA contribution.
• Professional growth: Annual education stipend, conference travel budget, and internal mentorship programs.
• Work‑life balance: Unlimited PTO, flexible holidays, and a results‑only work environment.
• Technology allowance: Up‑front funding for ergonomic furniture, monitors, and high‑speed internet.

Why Join Our Team?

We are a data‑first organization that values curiosity, rigor, and collaboration. Our remote culture is built on trust: you’ll receive the tools, support, and autonomy to push the boundaries of quantitative finance without a commute. Join a diverse group of experts who celebrate breakthroughs, share knowledge openly, and celebrate each other’s successes.

How to Apply

If you’re ready to influence the next generation of data‑driven financial products, prepare a concise résumé, a cover letter highlighting a recent quantitative project, and any relevant publications or GitHub repositories. Submit your materials through our secure online portal.

Equal Opportunity Employer

We are committed to fostering an inclusive environment where every employee—regardless of race, gender, sexual orientation, disability, or veteran status—can thrive. All qualified applicants will receive consideration for employment without regard to any protected characteristic.