Quantitative Researcher with Machine Learning Experience – Work From Home

Ginas Tech Jobs • Chicago, IL

211d • $100,000 - $300,000

About The Position

We are currently looking for a Quantitative Researcher with Machine Learning experience for a great opportunity. The company participates in a wide variety of marketplaces including global futures, equities, commodities, options, fixed income, and cryptocurrencies. Their culture emphasizes teamwork and focuses on continuous integration and test-driven development. This position is 100% Remote.

Requirements

• Bachelor’s in mathematics, physics, computer science, or a related quantitative field with at least 4 years of relevant work experience or a Masters/PhD in mathematics, physics, computer science, or a related quantitative field with at least 2 years of relevant work experience.
• 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.
• 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.

Nice To Haves

• 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.).

Responsibilities

• Designing, developing, and enhancing python data science tools and frameworks.
• Working collaboratively with multiple trading teams.
• Conducting alpha research.
• Identifying new trading opportunities.
• Monitoring models in production.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Health savings account
• Life insurance policy
• Short-term disability insurance
• Long-term disability insurance
• Employee assistance program

What This Job Offers

• Career Level: Mid Level
• Education Level: Master's degree