Remote Quantitative Researcher — U.S. Remote | Build Next-Generation Market Intelligence Models

Join Northstar Quant Labs as a fully remote Quantitative Researcher developing advanced models for financial markets, risk assessment, and data-driven investment decisions. This role offers the opportunity to work with large datasets, machine learning techniques, and a collaborative team of experienced analysts and engineers. You will combine statistical research, programming, and commercial insight to create models that deliver measurable business value.

Reporting directly to the Head of Quantitative Strategy, you will research new signals, evaluate trading opportunities, and translate complex market patterns into practical solutions. This is an ideal opportunity for a U.S.-based professional seeking a fully remote, high-impact quantitative finance career.

About the Role

As a Quantitative Researcher, you will investigate financial data, design predictive models, and evaluate strategies across multiple asset classes. You will work closely with portfolio managers, data engineers, and software developers to move research from concept to production. The role is suited to someone who enjoys analytical problem-solving, independent work, and continuous learning in fast-moving markets.

Salary Range

Estimated base salary: $110,000–$170,000 USD per year, depending on experience, education, technical expertise, and demonstrated research results. Competitive performance bonuses and long-term incentives may also be available.

Key Responsibilities

• Research, develop, and validate quantitative trading signals and predictive models using statistical and machine learning methods.
• Analyze large financial, alternative, and market datasets to identify meaningful patterns and potential opportunities.
• Conduct backtesting, performance evaluation, and risk analysis to assess strategy effectiveness and limitations.
• Collaborate with portfolio managers and engineers to translate research findings into deployable models.
• Monitor model performance and investigate changes caused by shifting market conditions.
• Document research methodologies, assumptions, results, and recommendations clearly for technical and nontechnical stakeholders.
• Stay informed about developments in quantitative finance, machine learning, data science, and financial technology.

Requirements

• Bachelor’s, master’s, or Ph.D. degree in Mathematics, Statistics, Physics, Computer Science, Engineering, Economics, or a related field.
• Strong understanding of statistics, probability, regression, time series analysis, and financial markets.
• Proficiency in Python and experience with libraries such as NumPy, pandas, scikit-learn, or PyTorch.
• Experience handling large datasets and performing research-grade backtesting or model validation.
• Ability to communicate complex quantitative concepts clearly through reports, presentations, and discussions.
• Strong attention to detail, sound judgment, and the ability to work independently in a remote environment.

Preferred Qualifications

Candidates with experience in algorithmic trading, risk modeling, derivatives, portfolio optimization, alternative data, or production machine learning systems may be particularly well suited. Prior experience in an investment bank, hedge fund, asset management firm, fintech company, or quantitative research laboratory is a plus.

What Success Looks Like

Success in this role means consistently producing well-researched models, identifying reliable market insights, and contributing to strategies that improve decision-making and portfolio performance. You will be expected to challenge assumptions, communicate uncertainty, and maintain rigorous standards for data quality and model validation.

Benefits

• 100% remote work from anywhere within the United States
• Flexible schedule designed around results and collaboration
• Modern technology, cloud computing resources, and professional research tools
• Health, dental, and vision insurance
• Retirement plan with employer contribution
• Paid time off, holidays, and personal development allowance
• Opportunity to work on innovative quantitative finance projects
• Collaborative culture with access to experienced quantitative professionals

Remote Work Environment

This Quantitative Researcher position is fully remote and requires a reliable internet connection, a secure workspace, and the ability to communicate effectively through digital collaboration platforms. Northstar Quant Labs supports distributed teams through structured research reviews, virtual meetings, and clear performance goals.