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

Join a high‑performance research team that turns massive alternative data sets into actionable trading signals. This fully remote role lets you collaborate with world‑class quants while enjoying the flexibility to work from anywhere in the United States.

About the Role

As a Quantitative Researcher at Apex Analytics, you will design, test, and deploy systematic strategies across equities, futures, and crypto markets. You’ll own the end‑to‑end research lifecycle: from hypothesis generation and data cleaning to back‑testing, risk modeling, and production‑grade implementation. Your work directly influences portfolio performance, and you’ll have the autonomy to explore novel signals—whether they stem from satellite imagery, blockchain analytics, or high‑frequency order‑book dynamics.

Key Responsibilities

• Develop alpha‑generating models using Python, C++, and modern ML frameworks (PyTorch, JAX, LightGBM).
• Conduct rigorous statistical validation, including out‑of‑sample testing, walk‑forward analysis, and regime‑aware stress testing.
• Integrate alternative data pipelines (e.g., ESG scores, foot‑traffic, on‑chain metrics) into the research platform.
• Collaborate with portfolio managers and engineers to transition prototypes into low‑latency production systems.
• Publish internal research notes and present findings at weekly strategy reviews.

Requirements

Education & Experience

• Ph.D. or Master’s in a quantitative discipline (Statistics, Physics, Computer Science, Mathematics, Financial Engineering).
• 3+ years of professional research experience at a hedge fund, prop‑trading firm, or top‑tier quant research group.

Technical Skills

• Expert‑level Python (NumPy, pandas, scikit‑learn, PyTorch/JAX) and C++17/20 for performance‑critical components.
• Deep understanding of time‑series econometrics, market microstructure, and risk‑factor modeling.
• Hands‑on experience with cloud compute (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.
• Familiarity with alternative data vendors and data‑licensing workflows.

Soft Skills

• Strong scientific curiosity paired with a pragmatic “ship‑it” mindset.
• Ability to communicate complex quantitative concepts to non‑technical stakeholders.
• Self‑directed, disciplined, and comfortable thriving in an asynchronous, remote‑first culture.

Salary Range

$180,000 – $260,000 USD/year (base + performance bonus), commensurate with experience and research impact. Equity participation is available for senior contributors.

Benefits & Perks

• 100% remote – work from any U.S. location with a stable internet connection.
• Generous annual learning budget ($5,000) for conferences, courses, and certifications.
• Comprehensive health, dental, and vision coverage (including dependents).
• 401(k) match up to 5% + profit‑sharing contribution.
• Quarterly “Research Sprint” weeks – dedicated time for exploratory projects without delivery pressure.
• Home‑office stipend ($2,500 annually) for ergonomic gear and high‑performance hardware.

Our Culture

Apex Analytics operates as a flat, meritocratic collective where ideas win on evidence, not hierarchy. We run weekly “Paper Clubs” to dissect cutting‑edge academic literature, and we encourage open‑source contributions—several of our core libraries are publicly maintained on GitHub. Transparency is baked into our workflow: every model version, data source, and performance metric is logged in an immutable research ledger accessible to the entire team.

How You’ll Succeed

Success in this role means consistently delivering statistically robust signals that survive live‑trading scrutiny. You’ll thrive if you treat every hypothesis as an experiment, document your methodology obsessively, and iterate fast when the data disagrees. The most impactful researchers here blend deep mathematical rigor with an engineer’s pragmatism—turning a promising notebook into a production‑ready factor in weeks, not months.

Next Steps

If you’re ready to push the frontier of quantitative finance from the comfort of your home office, we’d love to hear about your most exciting research project. Prepare a concise summary (one page max) of a strategy you’ve built, the data you used, and the key statistical evidence supporting its edge. Our research leads review every submission personally and respond within five business days.