Remote Quantitative Researcher – Open to US Residents – Shape the Future of Finance!

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Are you passionate about turning raw data into actionable investment strategies? Join a fast‑growing, technology‑first hedge fund that empowers its analysts to innovate without geographic constraints. This fully remote role lets you work from anywhere in the United States while collaborating with world‑class quants, data engineers, and portfolio managers.

Salary Range

Estimated Compensation: $95,000 – $140,000 USD per year, plus performance‑based bonuses and equity participation.

About the Role

As a Remote Quantitative Researcher, you will design, test, and implement statistical models that drive the firm’s trading decisions. You’ll work closely with a distributed team of data scientists and software engineers to translate complex market phenomena into robust, low‑latency algorithms. The position offers the flexibility of home‑office work while providing access to cutting‑edge data feeds, cloud‑based compute clusters, and a collaborative Slack/Zoom environment.

Key Responsibilities

• Develop predictive models using time‑series analysis, machine learning, and Bayesian inference.
• Conduct rigorous back‑testing and statistical validation to ensure model robustness.
• Collaborate with engineers to deploy models into production‑grade C++/Python pipelines.
• Analyze large‑scale alternative data sets (e.g., satellite imagery, social sentiment) to uncover novel alpha sources.
• Document research findings in clear, reproducible Jupyter notebooks and internal white‑papers.
• Mentor junior analysts and contribute to a culture of continuous learning.

Requirements

• Master’s or Ph.D. in Mathematics, Statistics, Physics, Computer Science, or a related quantitative field.
• 3+ years of professional experience in quantitative research, algorithmic trading, or advanced analytics.
• Strong programming skills in Python (NumPy, pandas, scikit‑learn) and at least one compiled language such as C++ or Java.
• Hands‑on experience with SQL/NoSQL databases and cloud platforms (AWS, GCP, or Azure).
• Deep understanding of stochastic calculus, econometrics, and risk modeling.
• Excellent communication skills—able to explain complex concepts to both technical and non‑technical stakeholders.
• Self‑motivated, highly organized, and comfortable thriving in a fully remote, asynchronous work environment.

Preferred Extras

• Publications in peer‑reviewed journals or conference proceedings.
• Experience with GPU‑accelerated computing (CUDA, TensorFlow, PyTorch).
• Familiarity with high‑frequency data handling and low‑latency system design.

Benefits & Perks

• 100% remote work – set up your home office the way you like.
• Flexible hours with a results‑oriented culture.
• Comprehensive health, dental, and vision plans.
• 401(k) matching up to 5% of salary.
• Annual professional development stipend for courses, conferences, or certifications.
• Generous paid time off plus company‑wide mental‑health days.
• Access to state‑of‑the‑art cloud compute credits for personal research projects.

Why Join Our Team?

We blend rigorous academic research with real‑world trading impact, giving you the freedom to see your ideas generate measurable returns. Our remote‑first philosophy means you’ll never miss out on mentorship or collaboration—our virtual “research hub” includes daily stand‑ups, weekly deep‑dive seminars, and a robust knowledge‑sharing platform. If you thrive on solving complex puzzles and want to influence multi‑billion‑dollar portfolios from the comfort of your home, this is the role for you.

How to Proceed

If you’re ready to push the boundaries of quantitative finance while enjoying the flexibility of a fully remote career, prepare a concise resume, a one‑page research summary of a recent project, and a short cover letter highlighting your most relevant achievements. Submit your materials through our secure online portal, and our hiring team will review them promptly.

Equal Opportunity Statement

We are an equal‑opportunity employer. Our commitment to diversity, equity, and inclusion means we welcome candidates of all backgrounds, identities, and experiences. Remote work eliminates geographic bias, ensuring talent is judged solely on merit and potential.

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