Machine Learning Quantitative Researcher - Work From Home

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

Job summary

A leading company in proprietary trading is seeking a skilled data scientist to enhance their Python tools and frameworks. This role offers remote work flexibility and a comprehensive benefits package. Ideal candidates will have a strong quantitative background and programming skills in Python, with opportunities to contribute to significant trading insights.

Benefits

Comprehensive benefits package

Flexible schedule

Employee assistance program

Short-term and long-term disability insurance

Qualifications

• Bachelor's in a quantitative field with 4 years experience or Master's/PhD with 2 years.
• Strong GPA of 3.5 or higher required.

Responsibilities

• Design and enhance Python data science tools and frameworks.
• Collaborate on alpha research and identify trading opportunities.
• Monitor models in production and ensure research practices.

Skills

Probability

Statistics

Machine Learning

Python

Education

Bachelor's in Mathematics

Master's/PhD in Related Field

Tools

C++

Docker

Airflow

Prefect

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)

#MachineLearning #QuantitativeResearch #RemoteWork #DataScience #Trading

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