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About the Role
Trexquant is a systematic hedge fund that utilizes thousands of statistical algorithms to trade global markets. We seek talented individuals to develop next-generation machine learning strategies for predicting financial asset movements.
Responsibilities
- Develop market-neutral signals, parse and analyze large data sets, and collaborate to build predictive models.
- Parse and analyze large data sets, discover new data sources, and collaborate to build predictive machine learning models.
- Develop systematic strategies using machine learning and statistical methods.
- Design, implement, and optimize machine learning models for predicting liquid assets.
- Parse data sets for future alpha development.
- Investigate and implement state-of-the-art academic research in quantitative finance.
- Collaborate with quantitative researchers to conduct experiments and test hypotheses via simulations.
Requirements
- BS/MS degree in any STEM field.
- Passion for machine learning.
- Fluent with programming languages like Python.
- Strong problem-solving skills.
- Ability to work effectively both individually and as a team player.
- Knowledge of financial accounting is a plus.
- Background in quantitative finance is a plus but not necessary.
Skills
- Machine Learning
- Python
- Quantitative Finance
- Data Analysis
- Statistical Algorithms
Location
- Stamford
- New York City
Work Type
- Full-time
Experience Level
- Entry-level
- Mid-level
- Senior-level
Education Level
- BS
- MS
Salary/Compensations
- $120,000 to $180,000
Benefits
- Competitive salary plus bonus based on individual and company performance.
- Collaborative, casual, and friendly work environment.
- PPO Health, dental and vision insurance premiums fully covered for you and your dependents.
- Pre-tax commuter benefits.
- Weekly company meals.
About the Company
- Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, futures and other markets globally.
- Starting with many data sets, we develop large sets of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios.
- We are looking for data scientists, physicists, engineers, economists and programmers to develop the next generation of machine learning strategies that can accurately predict the future movements of liquid financial assets.
Equal Opportunity
- Trexquant is an Equal Opportunity Employer.