Remote Quantitative Researcher – Unlock Market Opportunities from Anywhere

Join a forward‑thinking fintech team where you’ll develop cutting‑edge quantitative models, analyze massive datasets, and drive strategic decisions—all while working fully remote. This role offers competitive pay, flexible hours, and the chance to impact product direction from your home office.

Salary Range

$95,000 – $135,000 USD per year

About the Role

As a Quantitative Researcher, you will partner with product, engineering, and trading teams to build predictive models that uncover hidden patterns in market data. Your work will directly influence risk management, pricing strategies, and new product development. Operating in a fully remote environment, you’ll enjoy autonomy while collaborating through modern communication tools.

Key Responsibilities

• Design, implement, and backtest statistical and machine learning models for price prediction and signal generation.
• Conduct rigorous data cleaning, feature engineering, and exploratory analysis on large‑scale financial datasets.
• Produce clear, actionable insights and visualizations for stakeholders across the organization.
• Collaborate with software engineers to transition research prototypes into production‑grade pipelines.
• Stay current with academic literature and industry best practices, integrating new techniques into the research roadmap.
• Participate in code reviews, model validation, and ongoing performance monitoring.

Requirements

Must‑Have Skills

• Master’s or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Economics, or a related quantitative field.
• Strong proficiency in Python (NumPy, pandas, scikit‑learn, statsmodels) or R; experience with C++/Java is a plus.
• Solid foundation in statistical inference, time‑series analysis, stochastic processes, and machine learning.
• Demonstrated ability to develop and validate predictive models using historical financial data.
• Excellent communication skills; able to translate complex concepts into clear business recommendations.

Nice‑to‑Have

• Experience with big‑data tools such as Spark, Hadoop, or SQL‑based data warehouses.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Knowledge of fixed‑income, equities, or derivatives markets.
• Publications in peer‑reviewed journals or contributions to open‑source projects.

Benefits

• Fully remote work – set your own schedule and work from anywhere with a reliable internet connection.
• Competitive base salary plus annual performance bonus.
• Comprehensive health, dental, and vision insurance.
• 401(k) plan with company match.
• Generous paid time off and company holidays.
• Annual learning stipend for conferences, courses, or certifications.
• Home office equipment allowance.
• Vibrant, inclusive culture with regular virtual team‑building events.

Tech Stack

Our researchers work with a modern, scalable stack that supports rapid experimentation and seamless deployment.

• Languages: Python 3.10+, R, SQL.
• Libraries: NumPy, pandas, scikit‑learn, statsmodels, TensorFlow/PyTorch.
• Data Warehouses: Snowflake, Amazon Redshift, Google BigQuery.
• Orchestration: Apache Airflow, Prefect.
• Version Control: GitHub with pull‑request workflows.
• CI/CD: Docker, Kubernetes, GitHub Actions.

Why Join Us?

We are a fast‑growing fintech startup dedicated to democratizing access to sophisticated quantitative strategies. Our team values curiosity, rigor, and collaboration, and we empower researchers to push the boundaries of what’s possible with data. By joining us, you’ll shape the next generation of financial products while enjoying the flexibility and autonomy of remote work.