Remote Quantitative Researcher: Unlock Market Secrets with Cutting-Edge AI & Algorithmic Trading

We are seeking a brilliant and analytical mind to join our elite quantitative research team. In this fully remote role, you will develop and deploy sophisticated statistical models and machine learning algorithms that drive our firm’s multi-strategy trading platforms. If you thrive on solving complex, data-intensive puzzles and want your work to have a direct, measurable impact on a global scale, this is your opportunity.

Compensation & Total Rewards

We believe in exceptional pay for exceptional talent. The estimated base salary range for this position is $150,000 – $220,000 USD/year, highly dependent on experience and proven track record. This is complemented by a substantial performance-based bonus structure, with total annual compensation (base + bonus) for successful candidates commonly ranging from $250,000 to $500,000+ USD. You will also receive a comprehensive benefits package from day one.

About the Role & Impact

As a Remote Quantitative Researcher, you will be at the forefront of financial innovation. Your primary mission is to discover, research, and implement novel alpha-generating signals across global equities, futures, and foreign exchange markets. You will work independently and collaboratively within a lean, agile team, taking ideas from conceptual research through to robust, production-ready trading code. Our infrastructure provides unparalleled access to low-latency execution, massive historical and real-time data sets, and powerful computing resources.

Day-to-Day Responsibilities

• Conduct independent research to identify and test new trading strategy ideas using statistical analysis and machine learning.
• Develop, backtest, and optimize predictive models with a focus on robustness, scalability, and low latency.
• Write clean, efficient, and production-grade code in Python and/or C++ to implement your research.
• Analyze massive datasets (TB-scale) using distributed computing frameworks like Spark or Dask.
• Collaborate with portfolio managers and engineers to monitor strategy performance and drive iterative improvements.
• Present research findings and model rationale clearly to technical and non-technical stakeholders.

Requirements

Must-Have Skills & Experience

• Education: PhD (preferred) or MS in a quantitative discipline such as Computer Science, Statistics, Mathematics, Physics, or Financial Engineering.
• Technical Mastery: Expert proficiency in Python for data analysis and modeling (NumPy, Pandas, Scikit-learn). Strong skills in statistical analysis, time series modeling, and machine learning. Experience with SQL and big data tools (Spark, Kafka) is essential.
• Research Acumen: Demonstrated ability to complete end-to-end research projects, from hypothesis generation through rigorous backtesting and validation. A portfolio of published research, academic papers, or competitive Kaggle achievements is a major plus.
• Domain Knowledge: A deep understanding of financial markets, trading concepts (alpha, beta, risk), and instrument behavior is required. Prior experience in a quantitative trading or hedge fund environment is highly desirable.
• Mindset: Intellectually curious, exceptionally rigorous, and obsessed with detail. You must thrive in an environment of high autonomy and direct accountability for P&L.

Nice-to-Have Skills

• Proficiency in C++ or Rust for high-performance computing.
• Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
• Knowledge of alternative data sources and techniques for their integration.
• Experience with deep learning frameworks (TensorFlow, PyTorch).

Benefits & Perks for the Remote Professional

• Unparalleled Compensation: Industry-leading base salary with a transparent, lucrative bonus model tied directly to team and strategy performance.
• True Flexibility: A 100% remote work-from-home policy with no mandated office days. Work from anywhere with a reliable high-speed internet connection. We provide a generous home office stipend.
• Health & Wellness: Comprehensive medical, dental, and vision insurance for you and your family. Premium mental health and wellness support programs.
• Financial Security: 401(k) match, generous paid time off, and parental leave policies.
• Growth & Development: Annual budget for conferences, courses, and certifications. Regular internal tech talks and learning sessions with world-class colleagues.
• Global Impact: Your work directly influences a multi-billion dollar trading operation in a competitive, meritocratic environment.

Our Remote Work Culture

We are a distributed team of top-tier talent, built on trust, communication, and output. Our remote culture is intentional and supportive, featuring daily virtual stand-ups, weekly deep-dive research seminars, and regular virtual social events. We use a best-in-class collaboration stack (Slack, Zoom, Notion, GitHub) to ensure seamless communication. We provide the tools and autonomy to do your best work, and we measure success by results, not hours logged.

How to Apply

If you are ready to tackle the most challenging problems in quantitative finance, we want to hear from you. Please submit your resume/CV and a brief cover letter or research statement detailing your most exciting quantitative project and its impact to our careers portal at careers@quantresearchfirm.com. In your subject line, please include: “Remote Quant Researcher Application – [Your Name]”. No phone calls or recruiters, please. We will contact qualified candidates for an initial screening interview.