Machine Learning Quantitative Researcher - Work From Home

Employer Industry: Proprietary Trading Firm

• Opportunity for remote work with a flexible schedule
• Comprehensive benefits package, including medical, dental, vision, and life insurance
• Short-term and long-term disability insurance and employee assistance program
• Collaborative team environment that emphasizes teamwork and continuous development
• Potential for significant contributions through data-driven insights in a fast-paced setting

• Design, develop, and enhance Python data science tools and frameworks
• Collaborate with multiple trading teams to conduct alpha research and identify new trading opportunities
• Monitor models in production and ensure reproducible, well-tested research practices
• Take ownership of projects while effectively prioritizing tasks and long-term objectives
• Deliver high-quality research tools that support the firm's data science efforts

• Bachelor's in mathematics, physics, computer science, or a related quantitative field with at least 4 years of relevant work experience, or a Master's/PhD in a related field with at least 2 years of experience
• Strong GPA of 3.5 or higher
• Proficient knowledge of probability, statistics, and machine learning for time-series data
• Excellent programming skills in Python, with familiarity in C++ being a plus
• Experience with software engineering best practices, including TDD and CI/CD, and distributed computing

• Practical experience applying machine learning techniques in trading applications
• Experience with high-performance computing (HPC) environments such as SLURM
• Familiarity with orchestration and containerization tools (e.g., Singularity, Docker, Airflow, Prefect)

#Machine Learning #Quantitative Research #Remote Work #Data Science #Trading

We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.

We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.