Machine Learning Quantitative Researcher - Work From Home

Remote Jobs; Chicago (IL); Remote; USD 90,000 - 120,000; Full time

Job summary

A leading proprietary trading firm is seeking a skilled Data Scientist to develop and enhance data science tools using Python. The role offers remote work with a flexible schedule and requires a strong background in mathematics, programming, and machine learning. Applicants should possess at least a bachelor's degree and relevant experience. Excellent benefits and a collaborative work environment provided.

Benefits

Comprehensive benefits package

Flexible schedule

Collaborative team environment

Qualifications

• At least 4 years of relevant work experience, or 2 years with advanced degree.
• Strong GPA of 3.5 or higher.
• Excellent programming skills in Python.

Responsibilities

• Design, develop, and enhance Python data science tools.
• Collaborate with multiple trading teams to conduct alpha research.
• Monitor models in production and ensure reproducible practices.

Skills

Probability

Statistics

Machine Learning

Python

C++

Education

Bachelor's in mathematics, physics, computer science, or related field

Master's or PhD in a related field

Tools

Docker

Airflow

SLURM

Job description

Employer Industry: Proprietary Trading Firm

Why consider this job opportunity:

• 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

What to Expect (Job Responsibilities):

• 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

What is Required (Qualifications):

• 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

How to Stand Out (Preferred Qualifications):

• 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)

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