Austin, TX (Candidates must be based in Austin or open to relocating)
We are a fast-growing quantitative investment firm focused on generating consistent, risk-adjusted performance across global markets. The team combines deep quantitative expertise with proprietary research technology that allows new ideas to be tested quickly and deployed efficiently. This is an opportunity to join a highly collaborative environment with clear progression into senior research and portfolio management roles.
The Role
As a Quantitative Research Analyst, you will contribute directly to the research and development of systematic trading strategies. You will work closely with portfolio managers, developers, and other researchers to turn data into actionable trading insights while continuously expanding your understanding of markets and quantitative methods.
Key Responsibilities
- Enhance and refine existing trading strategies to improve performance and scalability
- Research and develop new models, signals, and techniques designed to increase risk-adjusted returns
- Work closely with portfolio managers, researchers, and developers to translate complex research questions into practical, data-driven solutions
- Identify and evaluate new datasets, tools, and methodologies that can provide a competitive advantage
- Stay current with academic research and industry developments, and convert promising ideas into revenue-generating strategies
Requirements
- Strong quantitative and analytical skills with experience working on large and complex datasets
- Curious and adaptable mindset, with the ability to test new approaches and challenge assumptions when data supports it
- Solid programming and data analysis skills in Python and/or R
- Exposure to machine learning, statistical modelling, or optimisation techniques is a plus
- Bachelor’s degree in a technical discipline (e.g., Mathematics, Physics, Computer Science, Engineering, or similar) from a well-regarded university
- At least 2+ years of experience in a quantitative research role within finance or another data-intensive, technology-driven environment
