Remote Quantitative Researcher – Join a Cutting‑Edge FinTech Team

“`html

Are you passionate about turning massive data sets into profitable trading signals? We’re a fast‑growing FinTech firm seeking a remote Quantitative Researcher who thrives on statistical rigor, machine‑learning innovation, and real‑world impact. Work from anywhere in the United States, collaborate with world‑class engineers, and help us stay ahead of the market curve.

Salary Range

Based on industry benchmarks for senior quantitative roles in the United States, the annual compensation for this position is $110,000 – $150,000 USD, plus performance‑based bonuses and equity participation.

About the Role

As a Remote Quantitative Researcher, you will design, test, and deploy mathematical models that drive our proprietary trading strategies. You’ll partner closely with data engineers, software developers, and portfolio managers to translate research ideas into production‑ready code. Your insights will directly influence risk management, execution efficiency, and overall profitability.

Key Responsibilities

• Develop and validate statistical models, machine‑learning pipelines, and signal‑generation algorithms.
• Conduct rigorous back‑testing using high‑frequency market data to assess model robustness.
• Collaborate with engineering teams to integrate research outputs into low‑latency trading systems.
• Publish clear, reproducible research reports and present findings to cross‑functional stakeholders.
• Stay current with academic literature, emerging technologies, and regulatory developments.

Requirements

• Master’s or Ph.D. in Mathematics, Statistics, Computer Science, Physics, or a related quantitative discipline.
• 5+ years of hands‑on experience building quantitative models for finance, e‑commerce, or a data‑intensive industry.
• Proficiency in Python (NumPy, pandas, scikit‑learn) and familiarity with C++ or Java for production code.
• Deep understanding of time‑series analysis, stochastic calculus, and optimization techniques.
• Experience with large‑scale data platforms (SQL, NoSQL, Hadoop, Spark) and cloud environments (AWS, GCP, Azure).
• Strong communication skills – you can explain complex concepts to non‑technical audiences.
• Self‑starter mentality with a proven track record of delivering results in a remote setting.

Preferred Extras

• Publications in peer‑reviewed journals or conferences.
• Hands‑on experience with reinforcement learning or deep learning frameworks (TensorFlow, PyTorch).
• Knowledge of market microstructure and algorithmic trading platforms.

Benefits

• Fully remote work – set your own schedule while staying connected through daily stand‑ups and virtual coffee chats.
• Competitive base salary plus quarterly performance bonuses and equity grants.
• Health, dental, and vision insurance with 100% employer contribution.
• Generous 401(k) match and unlimited PTO to support work‑life balance.
• Professional development stipend for conferences, coursework, or certifications.
• State‑of‑the‑art home office allowance (up to $2,000) for ergonomic chairs, monitors, and high‑speed internet.

Why Join Us?

Our culture is built on curiosity, collaboration, and continuous learning. Even though you’ll be working from home, you’ll never feel isolated – we host weekly hackathons, virtual brown‑bag sessions, and quarterly in‑person retreats at scenic locations across the U.S. As a core member of the research team, your ideas will shape the next generation of algorithmic products that serve millions of users worldwide.

How to Apply

If you’re ready to turn data into decisive advantage and thrive in a fully remote, high‑impact environment, send your résumé, a concise cover letter, and a brief portfolio of past quantitative projects to careers@fintechinnovate.com. Include “Remote Quantitative Researcher” in the subject line.

“`