Trexquant is looking to solve the problem of transforming data into robust and profitable predictive models for multiple asset classes, including global equities, futures, corporate bonds, options, and foreign exchange.
Requirements
- 2+ years of experience in data science, with a focus on quantitative analysis and model development.
- Strong quantitative and analytical skills, with a deep understanding of statistical modeling and data-driven problem solving.
- Proficient in Python, with experience using relevant libraries for data analysis, machine learning, and numerical computing.
Responsibilities
- Ingest, clean, and normalize large-scale datasets; build and maintain data pipelines and infrastructure for research and production.
- Collaborate closely with strategy and machine learning teams to identify predictive signals and help develop models using relevant data variables.
- Evaluate and explore new datasets recommended by researchers and partners.
- Develop deep familiarity with datasets in your asset class by engaging with data vendors and attending data conferences.
- Stay up to date with advancements in data science and machine learning techniques relevant to quantitative investing.
Other
- Bachelor’s, Master’s, or Ph.D. in Mathematics, Statistics, Computer Science, or a related STEM field.
- 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.
