As a Data Scientist, you will lead data efforts in a specific asset class, clean and normalize datasets, and collaborate with teams to develop predictive models.
Trexquant actively trades multiple asset classes, including global equities, futures, corporate bonds, options, and foreign exchange. Data is at the core of everything we do and we are looking for individuals who are passionate about working with data and are curious about how it is transformed into robust and profitable predictive models. As a data scientist, you will specialize in one of these asset classes, becoming the go-to expert for all data-related matters within that domain. This is a unique opportunity to lead the data efforts for a specific asset class and make a direct impact on the firm’s trading strategies.
Responsibilities
- Develop deep familiarity with datasets in your asset class by engaging with data vendors and attending data conferences.
- Evaluate and explore new datasets recommended by researchers and partners.
- Collaborate closely with strategy and machine learning teams to identify predictive signals and help develop models using relevant data variables.
- Ingest, clean, and normalize large-scale datasets; build and maintain data pipelines and infrastructure for research and production.
- Stay up to date with advancements in data science and machine learning techniques relevant to quantitative investing.
Requirements
- 2+ years of experience in data science, with a focus on quantitative analysis and model development.
- Bachelor’s, Master’s, or Ph.D. in Mathematics, Statistics, Computer Science, or a related STEM field.
- 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.
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.
Trexquant is an Equal Opportunity Employer
Top Skills
Python
Similar Jobs
Financial Services • Metaverse
As a Data Scientist II, you'll provide data-driven insights, ensure data integrity, analyze data, build predictive models, and collaborate with cross-functional teams.
Top Skills:
DatabricksPower BIPythonRSQLTableau
Fintech
As a Data Scientist II, you'll analyze data, build predictive models, and collaborate with teams to enhance efficiency and provide insights.
Top Skills:
DatabricksPower BIPythonRSQLTableau
Hardware • Machine Learning • Security • Software
As a Senior Data Scientist, you'll analyze data, create models, and develop predictive tools to drive business decisions at Flock Safety.
Top Skills:
Cloud InfrastructureDbtPythonSigmaSQLTableau
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
