Remote Quantitative Researcher: Master Market Predictions with Data Science

Unlock the power of quantitative finance from anywhere in the world. As a Remote Quantitative Researcher, you’ll design and deploy sophisticated models that generate consistent returns for a leading global investment firm. This role offers intellectual challenge, high earning potential, and the freedom to work without geographic constraints.

About the Role

You’ll integrate into a distributed team of PhD-level researchers and engineers, focusing on discovering alpha through rigorous data analysis. Your work will directly influence multi-million-dollar trading decisions across equities, futures, and cryptocurrencies. We prioritize innovation, providing access to petabyte-scale datasets and low-latency infrastructure to test your hypotheses at speed.

Core Mission

To systematically identify fleeting market opportunities by blending statistical rigor with machine learning, creating self-improving algorithms that adapt to evolving market regimes.

Key Responsibilities

Algorithm Development & Backtesting

Construct predictive models using historical and real-time feeds, conducting thorough backtests to validate robustness and minimize overfitting. Optimize for Sharpe ratio, drawdown control, and transaction cost efficiency.

Original Research

Produce actionable insights through proprietary research, from cross-sectional asset pricing to high-frequency signal extraction. Publish internal whitepapers and present findings to shape firm-wide strategy.

Collaborative Implementation

Partner with software engineers to translate research prototypes into production-ready code, ensuring scalability and reliability in live trading environments.

Requirements

Essential Qualifications

• Advanced degree (PhD or Master’s) in a quantitative field: Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or related discipline.
• 3+ years of professional quantitative research experience, preferably in hedge funds, proprietary trading, or quantitative asset management.
• Expert proficiency in Python (pandas, NumPy, SciPy, scikit-learn) for data manipulation, statistical modeling, and machine learning.
• Deep knowledge of time series analysis, stochastic calculus, regression techniques, and portfolio theory.
• Demonstrated ability to develop and monetize trading strategies, evidenced by prior employment, publications, or personal trading track record.

Preferred Attributes

• Experience with high-frequency data (tick-level) and latency-sensitive systems.
• Familiarity with C++, Julia, or Rust for performance-critical components.
• Hands-on experience with cloud platforms (AWS, GCP) and big data tools (Spark, Dask).
• Strong academic publication record in journals like Journal of Finance or Quantitative Finance.
• Excellent communication skills to distill complex models into clear business narratives.

Compensation & Benefits

Salary Range

The base salary for this position is $125,000 – $185,000 USD per year, commensurate with experience and expertise. Total compensation includes a substantial performance bonus tied to the profitability of your strategies, with realistic on-target earnings (OTE) of $200,000 – $350,000+ USD annually for sustained alpha generation.

Remote Work Perks

• 100% remote flexibility with no mandatory office days—work from any location with reliable internet.
• Home office stipend of $2,000 annually for ergonomic equipment, co-working space memberships, or tech upgrades.
• Flexible hours aligned with your peak productivity, respecting global team collaboration through asynchronous tools.

Health & Wellness

• Comprehensive medical, dental, and vision insurance covering 90% of premiums for employees and dependents.
• Generous paid time off: 25 vacation days, 10 sick days, and 12 company holidays, plus sabbatical opportunities after 5 years.
• Mental health support including therapy sessions, meditation app subscriptions, and wellness stipends.

Career Growth

• Annual learning budget of $5,000 for conferences, certifications, and advanced courses.
• Mentorship from industry veterans and opportunities to attend exclusive quant networking events.
• Clear path for promotion to Senior Researcher or Portfolio Manager based on merit and impact.

Why Join Our Firm?

We operate as a flat, meritocratic organization where your ideas可以直接 move markets. Unlike traditional banks, we minimize bureaucracy, allowing researchers to spend 80% of time on deep work. Our culture emphasizes intellectual curiosity, transparent performance metrics, and shared success—we believe great quant research is a team sport. You’ll solve problems that few can, with resources typically reserved for top-tier institutions.

Application Process

To apply, prepare a resume highlighting your quantitative achievements, a concise cover letter explaining your most innovative research project and its market impact, and optionally a link to a GitHub repository or published paper. Submit these materials via our careers portal at www.quantresearchcareers.com/apply. We review applications weekly and will contact you within 10 business days if your profile matches our needs. No recruiters, please.