Remote Quantitative Researcher – US Based – Drive Alpha with Cutting‑Edge Models

We are seeking a brilliant Quantitative Researcher to join a fully distributed team that builds high‑frequency trading strategies and systematic investment models. This role offers the freedom to work from anywhere in the United States while collaborating with world‑class engineers and data scientists to turn massive data sets into measurable alpha.

About the Role

As a Quantitative Researcher you will own the end‑to‑end research lifecycle: from hypothesis generation and data acquisition to model validation and production deployment. You will leverage alternative data, machine‑learning techniques, and rigorous statistical testing to uncover signals that survive out‑of‑sample scrutiny. The position is 100 % remote, with flexible hours that respect your peak‑productivity windows, and you will report directly to the Head of Quantitative Research.

Key Responsibilities

• Design, prototype, and back‑test systematic trading strategies across equities, futures, and crypto markets.
• Clean, normalize, and enrich terabyte‑scale datasets using Python, pandas, and cloud‑native tools (AWS/GCP).
• Apply advanced statistical methods (time‑series analysis, Bayesian inference, causal inference) to validate signal robustness.
• Collaborate with engineering to translate research notebooks into low‑latency production pipelines.
• Present findings and risk assessments to portfolio managers and the investment committee on a weekly cadence.

Requirements

Technical Expertise

• Master’s or Ph.D. in a quantitative discipline (Computer Science, Statistics, Physics, Mathematics, Financial Engineering).
• 3+ years of professional research experience in systematic trading, hedge funds, or high‑frequency market making.
• Expert‑level Python (NumPy, SciPy, scikit‑learn, PyTorch/TensorFlow) and fluency in SQL/NoSQL data stores.
• Proven track record of taking a strategy from idea to live PnL with documented Sharpe > 1.5.

Soft Skills

• Exceptional analytical rigor combined with the ability to communicate complex results to non‑technical stakeholders.
• Self‑directed, comfortable with asynchronous collaboration across time zones.
• Intellectual honesty: you document failures as diligently as successes.

Salary Range

$120,000 – $180,000 USD per year, plus a performance‑based bonus that can add 30‑50 % of base compensation. Equity participation is available for senior contributors.

Benefits & Perks

• Fully remote work with a $2,500 annual home‑office stipend.
• Comprehensive health, dental, and vision coverage for you and dependents.
• Unlimited PTO plus 10 paid company holidays.
• $5,000 yearly learning budget for conferences, courses, or certifications.
• Quarterly virtual hackathons with cash prizes and recognition.

Why Join Us?

Our firm blends academic rigor with entrepreneurial speed. You will have direct access to proprietary data feeds, a modern compute cluster, and a culture that rewards curiosity over hierarchy. Because the team is distributed, we invest heavily in collaboration tooling (Slack, Notion, GitLab, Zoom) and hold a weekly “Research Review” where every voice shapes the roadmap. If you thrive on turning noisy data into clean alpha and want the autonomy to craft your own research agenda, this is the environment where your models will make an impact.