Remote Quantitative Researcher – Global Financial Markets & Cutting‑Edge Analytics

Join a fast‑growing, fully remote team where data drives decisions and innovation is the norm. You’ll collaborate with world‑class traders, engineers, and strategists to turn complex datasets into actionable insights that shape multi‑billion‑dollar portfolios. This role offers the flexibility of home‑based work without compromising on impact or prestige.

About the Role

Our client, a leading quantitative hedge fund based in New York, is seeking a talented Quantitative Researcher to design, implement, and refine statistical models that power algorithmic trading strategies. You will work closely with portfolio managers to back‑test hypotheses, validate risk metrics, and integrate machine‑learning techniques into production systems. The position is 100% remote, allowing you to contribute from any location while maintaining a collaborative culture through virtual stand‑ups, shared code repositories, and regular knowledge‑exchange sessions.

Key Responsibilities

• Develop and maintain quantitative models for pricing, risk assessment, and trade execution.
• Conduct empirical research using large‑scale historical and real‑time market data.
• Collaborate with engineers to deploy models into high‑frequency trading infrastructure.
• Present findings and model insights to non‑technical stakeholders in clear, concise formats.
• Continuously monitor model performance and adapt strategies to evolving market conditions.

Requirements

Candidates must possess a strong academic foundation and relevant professional experience:

• Ph.D. or Master’s degree in Finance, Statistics, Applied Mathematics, Computer Science, or a related quantitative discipline.
• 3+ years of hands‑on experience building and validating quantitative models in a financial or trading environment.
• Proficiency in Python, R, or MATLAB, and familiarity with C++ for performance‑critical components.
• Deep understanding of stochastic calculus, time‑series analysis, and econometrics.
• Experience with machine‑learning frameworks such as TensorFlow or PyTorch is a plus.
• Excellent communication skills and the ability to translate complex concepts into actionable business recommendations.

Benefits & Perks

Working remotely does not mean sacrificing benefits. Our comprehensive package includes:

• Competitive salary ranging from $55,000 to $85,000 USD per year, commensurate with experience.
• Performance‑based bonuses and profit‑sharing opportunities.
• Comprehensive health, dental, and vision insurance.
• 401(k) plan with employer matching.
• Generous paid time off and flexible holiday schedule.
• Professional development stipend for conferences, certifications, and continuing education.
• State‑of‑the‑art home‑office equipment allowance and high‑speed internet reimbursement.

Work Environment

Our remote culture emphasizes autonomy, transparency, and continuous learning. You will have access to a global network of experts, cutting‑edge research tools, and a supportive leadership team that encourages experimentation. Regular virtual hackathons, lunch‑and‑learn sessions, and mentorship programs ensure that you stay at the forefront of quantitative innovation while enjoying a healthy work‑life balance.

Why This Opportunity Stands Out

By joining our team, you will be part of a mission‑driven organization that leverages data to generate alpha for investors worldwide. The role offers the rare combination of high‑impact research, substantial compensation, and the freedom to work from anywhere. If you thrive on solving complex analytical challenges and want to shape the future of finance, this is the position for you.