Remote Quantitative Researcher – Global Opportunities – Join a Leading FinTech Innovator

We are seeking a sharp, data‑driven Quantitative Researcher to develop cutting‑edge models that drive trading strategies and risk insights for a fast‑growing financial technology firm. Working fully remote, you’ll collaborate with a world‑class team of engineers, traders, and data scientists to turn complex datasets into actionable alpha.

About the Role

As a Quantitative Researcher, you will design, test, and implement statistical and machine‑learning models that inform systematic trading decisions. Your work will directly impact portfolio performance, risk management, and the firm’s competitive edge in global markets. You’ll have the autonomy to explore novel research ideas while benefiting from robust infrastructure and mentorship from senior quant leaders.

Key Responsibilities

• Develop and refine predictive models using Python, R, or MATLAB, focusing on time‑series analysis, factor construction, and signal generation.
• Conduct rigorous back‑testing, walk‑forward analysis, and statistical validation to ensure model robustness.
• Collaborate with software engineers to transition research prototypes into production‑ready trading systems.
• Monitor model performance in live environments, diagnose drift, and implement timely updates.
• Stay abreast of academic literature and industry advancements, integrating relevant techniques into the research pipeline.
• Present findings and recommendations to stakeholders through clear visualizations and concise reports.

Requirements

• Master’s or Ph.D. in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related technical field.
• Strong proficiency in Python (NumPy, pandas, scikit‑learn, statsmodels) or R; experience with C++/Java is a plus.
• Solid grasp of statistical hypothesis testing, time‑series econometrics, and machine‑learning methods applicable to finance.
• Proven track record of building and validating predictive models, preferably in a trading or asset‑management context.
• Excellent problem‑solving skills, attention to detail, and the ability to work independently in a remote setting.
• Effective communication skills for conveying complex quantitative concepts to both technical and non‑technical audiences.

What We Offer

Compensation & Benefits

• Competitive salary range: $120,000 – $160,000 USD per year, adjusted for experience and location.
• Annual performance bonus tied to individual and team contributions.
• Equity grants or stock‑option opportunities aligned with long‑term growth.
• Comprehensive health, dental, and vision plans for you and your dependents.
• 401(k) with company matching, plus financial planning resources.
• Generous paid time off, parental leave, and wellness stipends.
• Annual learning budget for conferences, courses, and certifications.
• Fully remote work environment with flexible hours and optional co‑working stipend.

Culture & Growth

• Inclusive, collaborative team that values curiosity, rigor, and continuous improvement.
• Access to cutting‑edge data feeds, high‑performance computing clusters, and proprietary research platforms.
• Clear career progression paths toward senior quant, team lead, or research director roles.
• Regular tech talks, journal clubs, and hackathons to foster innovation.

Salary Range

Based on industry benchmarks for senior quantitative researchers in the fintech and proprietary trading sectors, the target compensation for this role is $120,000 – $160,000 USD per year, inclusive of base salary and target bonus. Final offers will reflect candidate expertise, relevant experience, and geographic considerations.