Quantitative Researcher, Machine Learning - Work From Home

Freddie Mac; Chicago (IL); Remote; USD 80,000 - 110,000; Full time

Job summary

A leading company in financial services is seeking a skilled data scientist with expertise in machine learning and predictive modeling. This fully remote position offers a competitive starting salary and opportunities for career advancement. You will work with innovative techniques to drive trading strategies and be part of a collaborative culture focused on continuous improvement.

Benefits

Comprehensive benefits including medical insurance

Retirement plan

Paid time off (PTO)

Career advancement opportunities

Qualifications

• Minimum of 4 years of relevant work experience, or 2 years with advanced degree.
• Strong GPA of 3.5 or higher.
• Experience with software engineering best practices.

Responsibilities

• Develop predictive models to enhance strategy performance.
• Design and implement CI/CD data pipelines.
• Support existing strategies using proprietary software.

Skills

Probability

Statistics

Machine Learning

Programming in Python

Education

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

Master's/PhD in a related field

Tools

CI/CD

Docker

Airflow

Linux

Job description

Employer Industry: Financial Services

Why consider this job opportunity:
- Salary starting at $80K+ based on experience
- Opportunity for career advancement and growth within the organization
- 100% remote work flexibility
- Comprehensive benefits including medical insurance, retirement plan, and PTO
- Collaborative team culture focused on data-driven insights and continuous improvement
- Chance to work with cutting-edge machine learning techniques and contribute to innovative trading strategies

What to Expect (Job Responsibilities):
- Develop predictive models and leverage data-driven insights to enhance strategy performance and uncover new trading opportunities
- Design and implement robust and scalable CI/CD data pipelines
- Translate machine learning algorithms into executable code
- Support existing strategies and assist in the development of new ones using proprietary software
- Stay informed on the latest advancements in machine learning techniques

What is Required (Qualifications):
- Bachelor's degree in mathematics, physics, computer science, or a related quantitative field with a minimum of 4 years of relevant work experience, or a Master's/PhD in a related field with at least 2 years of relevant experience
- Strong GPA of 3.5 or higher
- Proficient in probability, statistics, and machine learning for time-series data
- Excellent programming skills in Python; familiarity with C++ is a plus
- Experience with software engineering best practices, including test-driven development (TDD) and continuous integration/continuous deployment (CI/CD)

How to Stand Out (Preferred Qualifications):
- Practical experience applying machine learning techniques in trading applications
- Familiarity with high-performance computing (HPC) environments, such as SLURM
- Experience with orchestration and containerization tools (e.g., Singularity, Docker, Airflow, Prefect)
- Prior experience developing applications on a Linux stack
- Strong ability to prioritize tasks while keeping long-term objectives in mind

#FinancialServices #RemoteWork #MachineLearning #QuantitativeResearch #CareerOpportunity #DataScience

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