AI Summary / Key Details

  • Role: Remote Quantitative Researcher Job (U.S. Residents) | Build Algorithms That Shape Global Markets
  • Compensation: $25 - $45 / hr
  • Location: Remote
  • How to apply: Click the Apply Now button on this page to submit your resume.
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We are seeking a brilliant Quantitative Researcher to join our elite team and develop the next generation of trading strategies. In this fully remote role, you’ll leverage massive datasets and cutting-edge machine learning to uncover alpha and directly impact the bottom line of a top-tier quantitative hedge fund. If you live to solve complex mathematical puzzles and see your code move billions, this is your mission.

About the Role

As a Quantitative Researcher, you will be at the core of our investment process. You will design, test, and implement quantitative models that predict market movements and generate consistent trading profits. This is not a support role; it is a front-office position where your research directly translates into trading decisions and P&L. Working remotely, you will collaborate with a small, tight-knit team of PhDs and engineers via video calls and shared development environments, enjoying the autonomy of deep work without the commute.

Core Mission & Impact

Your primary objective is to discover and validate novel trading signals. You will own the full research lifecycle: from hypothesis generation and data acquisition (market data, alternative data sources) to backtesting, rigorous statistical validation, and eventual handoff to our engineering team for production deployment. Success is measured in risk-adjusted returns and the robustness of your models.

Key Responsibilities

  • Alpha Research: Conduct independent, high-conviction research to identify predictive signals across global equities, futures, and FX markets.
  • Model Development: Build and maintain statistical and machine learning models (time series analysis, ensemble methods, NLP) using Python/R and C++.
  • Backtesting & Validation: Perform rigorous out-of-sample and forward testing, accounting for transaction costs, slippage, and all real-world market frictions.
  • Collaboration: Present findings and methodologies to the portfolio managers and research committee, clearly articulating the economic rationale and statistical confidence of your ideas.
  • Infrastructure: Utilize our high-performance computing (HPC) cloud environment and proprietary research platform to process terabytes of data efficiently.

Requirements

Essential Qualifications & Experience

  • Ph.D. (or exceptional Master’s with relevant industry experience) in Quantitative Finance, Statistics, Mathematics, Physics, Computer Science, or a related STEM field.
  • Proven track record (academic or professional) of original research and model development. A published paper, a winning Kaggle competition, or a demonstrable trading strategy is a huge plus.
  • Expert-level proficiency in Python for data analysis and modeling (NumPy, Pandas, Scikit-learn, Statsmodels). Experience with C++ or Rust for performance-critical code is highly desirable.
  • Deep understanding of financial time series, econometrics, and portfolio theory (CAPM, factor models).
  • Strong knowledge of machine learning techniques and their application to sequential, noisy data.
  • Intellectual curiosity, extreme attention to detail, and a healthy skepticism of results.

Preferred Attributes

  • Experience with alternative data sources (satellite imagery, social media sentiment, web traffic).
  • Familiarity with cloud platforms (AWS, GCP) and distributed computing frameworks (Spark, Dask).
  • Previous experience at a quantitative hedge fund, prop trading firm, or high-frequency trading (HFT) shop.
  • Active personal trading or a passion for financial markets.

Compensation & Benefits

Salary Range

We offer a highly competitive, performance-linked compensation package. The estimated base salary range for this position is $180,000 – $280,000 USD/year, commensurate with experience and skill level. This is complemented by a substantial annual bonus structure that is a multiple of base salary, directly tied to the profitability of the strategies you develop. For exceptional candidates, total compensation can exceed $500,000.

Comprehensive Remote-First Benefits

  • 100% Remote Work: Work from anywhere in the United States. We provide a top-tier MacBook Pro, multiple monitors, and a stipend for your home office setup.
  • Health & Wellness: Premium medical, dental, and vision insurance for you and your dependents. Generous mental health and wellness stipend.
  • Financial Security: 401(k) with company match, life insurance, and disability coverage.
  • Time Off: Unlimited Paid Time Off (PTO) policy, with a strong culture that encourages taking it.
  • Learning & Development: Annual budget for conferences, courses, books, and certifications to keep you at the forefront of your field.
  • Team Connection: Annual all-expenses-paid company retreats to reconnect in person and build camaraderie.

Why Join Us?

This is a rare opportunity to join a stable, profitable, and deeply intellectual firm at the pinnacle of quantitative finance. You will solve the hardest problems in finance with minimal bureaucracy, surrounded by peers who are among the best in the world. We value raw intellect, creativity, and a collaborative spirit over pedigree alone. If you are driven by the challenge of beating the market and want the freedom and tools to do your best work from your home office, we want to hear from you. Your research will be read, traded on, and judged by its results—there are no corporate layers between your idea and the market.