AI Developer
CACI International Inc
AWSEC2FlaskLinuxPythonSQLUnix
Quantitative Researcher, Machine Learning – Entry Level
XR Trading
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteSalary
💰 $100,000 - $300,000 per year
Job Level
Entry Level
Tech Stack
AirflowDockerJavaScriptLinuxPython
About the role
- Quant Researcher to join our Data Science Team
- Designing, developing, and enhancing our python data science tools and frameworks
- Working collaboratively with multiple trading teams, conducting alpha research, identifying new trading opportunities, and monitoring models in production
- Develop predictive models to maximize strategy performance and identify new trading opportunities
- Design and implement robust and scalable CI/CD data pipelines
- Translate machine learning algorithms into code
- Support current strategies and help develop new strategies utilizing our proprietary software
- Stay up to date on cutting-edge machine learning techniques
- Work in a collaborative team with the potential to deliver significant contributions through data-driven insights and by providing high-quality research tools enabling reproducible and well-tested research to take place across the firm.
Requirements
- Bachelor’s in mathematics, physics, computer science, or a related quantitative field
- Masters/PhD in mathematics, physics, computer science, or a related quantitative field
- Strong GPA (3.5 or higher)
- Strong knowledge of probability, statistics, and machine learning for time-series data
- Excellent programming skills in Python (C++ familiarity is a plus)
- Experience with software engineering best practices including TDD and CI/CD
- Experience with distributed computing
- Prior experience developing on a Linux stack
- Practical experience applying machine learning techniques for trading applications
- Experience with high-performance computing (HPC) environments such as SLURM
- Experience with orchestration and containerization tools (e.g. Singularity, Docker, Airflow, Prefect, etc.)
- Effective prioritization while being mindful of long-term objectives
- Able to take ownership of projects in a fast-paced collaborative environment
- Strong attention to detail
- Outstanding communication skills to collaborate with different stakeholders across multiple geographical locations
- XR Trading does not hire candidates who are currently on a student visa or who now or in the future will require XR to sponsor them for employment visa.
