Highlights
Zero bureaucracy, direct ownership of research work, competitive compensation, intellectual rigor, and global collaboration.
Description
Job Summary
pJoin BestEx Research as a Quantitative Researcher to contribute to the development of sophisticated execution algorithms and transaction cost modeling tools. Our mission is to revolutionize algorithmic trading by combining cutting-edge technology with rigorous quantitative analysis.
Responsibilities
- Design, develop, and validate quantitative models for market analytics and transaction cost analyses
Required Skills
- Python (Numpy, Pandas, scikit-learn, statsmodels)
- Advanced statistical analysis and probability
- Machine learning expertise
- Clear communication for non-technical stakeholders
- Experience with tick-by-tick market data and execution logs
Required Skills Explained
{'html': '
- Advanced degree in quantitative fields such as Mathematics, Statistics, Economics, Physics, or CS
- Expertise in Python with libraries like Numpy, Pandas, scikit-learn, and statsmodels
- A strong foundation in statistics, probability, and machine learning
- Demonstrated ability to take a research question from problem definition through model deployment
- Clear written and verbal communication skills to explain complex models to non-technical stakeholders
'}
Who is this for
pThis role is ideal for quantitative researchers who thrive in a dynamic, fast-paced environment. You should have a strong foundation in mathematics, statistics, or computer science and be passionate about algorithmic trading.
Why This Job is a Good Opportunity
{'html': 'ulliOpportunity to work on real-time trading systems in global marketsliDirect mentorship from senior algorithmic trading and software engineering expertsliA blend of research, systems design, and algorithm development rolesliCompetitive compensation including equity and cash bonusesliNo red tape or outsourcing mentality; a high-trust environment'}
Interview Preparation Tips
{'html': '
- Practice explaining complex quantitative models to non-technical stakeholders
- Prepare examples of your research projects, focusing on problem definition through deployment
- Familiarize yourself with real-time or production ML systems and their implications in trading
- Be ready to discuss the applications of AI in financial technology
- Promote your ability to work collaboratively with engineers and traders
'}
Career Growth in This Role
{'html': 'pThe role offers a path for continuous learning and growth, from contributing to mission-critical research to leading high-impact projects. Opportunities exist to develop expertise in market microstructure, algorithmic execution, and performance measurement. With experience, you can take on more complex projects and mentor junior researchers, advancing your career both technically and leadership-wise.'}
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Skills
Frequently Asked Questions
What kind of market data will I be working with?You'll work with tick-by-tick market data, execution logs, and large, complex datasets.
Is there a lot of collaboration within the team?Yes, you will collaborate closely with engineers, traders, researchers, and senior algorithmic trading veterans.
What kind of compensation can I expect?You'll receive competitive compensation including equity and cash bonuses.
