Bridgefront Capital is a growing quantitative investment firm based in Austin, Texas. Quantitative Researchers work directly with portfolio managers and senior colleagues from leading quantitative trading firms on our small, highly technical team. We deploy fully automated strategies in 17 countries, with over $1 billion in global portfolio exposure.

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You will investigate how markets function, originate and test investment hypotheses, and develop new quantitative techniques and strategies. New graduates receive close mentorship while taking meaningful ownership early, progressing from contributing to established research to independently proposing and driving high-impact work. 

 

With demonstrated success, researchers can advance to senior roles or assume responsibility for a subset of strategies as a portfolio manager.

 

In this role you will:

• Develop a deep understanding of markets and originate testable hypotheses about prices, risk, trading behavior, and investment opportunities.

• Own research from initial question through data selection, modeling, experimental design, interpretation, and production signals.

• Create and rigorously evaluate new features, machine-learning models, techniques, and strategies that can increase capacity and risk-adjusted returns.

• Analyze existing strategies to understand their behavior and develop substantive improvements.

• Proactively identify promising datasets, market mechanisms, and academic or industry techniques, then determine whether they offer genuine economic value.

• Collaborate with quantitative developers to productionize, scale, and monitor validated research while maintaining ownership of the underlying research and investment rationale.

• Use AI-enabled research infrastructure to expand the breadth and speed of exploration while maintaining independent judgment and responsibility for conclusions.

• Communicate findings clearly, including unsuccessful results, remaining uncertainty, and next steps.

 

Strong candidates will have:

• A strong interest in financial markets, trading, and converting empirical insights into investment decisions. Prior professional finance experience is not required.

• A Bachelor’s degree in mathematics, statistics, computer science, physics, engineering, econometrics, or another highly quantitative field, completed by the employment start date.

• Strong foundations in probability, statistics, machine learning, and empirical research.

• Strong Python and/or R skills sufficient to independently conduct quantitative research at scale.

• Evidence of original thinking through research, substantial projects, a thesis, competitions, or prior quantitative experience.

• Intellectual curiosity, flexibility, and the ability to formulate ambiguous problems into testable hypotheses.

• Clear written and verbal communication.

• Experience using modern AI research tools productively while independently validating their output.

 

Compensation includes competitive salary, bonus, 401(k) with match and profit sharing, co-investment option for eligible employees, paid vacation, and benefits. We offer a flexible, low-ego environment for people who are intensely competitive, take ownership, hold themselves to high standards, and are motivated by exceptional results.