Quantitative Researcher, Machine Learning - Work From Home

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

Job summary

An innovative financial services firm is seeking a talented data scientist to join their remote team. In this role, you'll utilize your expertise in machine learning and programming to develop predictive models that enhance trading strategies. You'll be part of a collaborative culture that values data-driven insights and continuous improvement. With comprehensive benefits and opportunities for career advancement, this position offers a chance to work with cutting-edge techniques in a flexible, remote environment. If you're passionate about leveraging data to drive success, this is the perfect opportunity for you.

Benefits

Medical Insurance

Retirement Plan

Paid Time Off (PTO)

Remote Work Flexibility

Qualifications

• 4+ years of experience in quantitative analysis or related field.
• Strong programming skills in Python with a focus on machine learning.

Responsibilities

• Develop predictive models to enhance trading strategies.
• Design and implement scalable CI/CD data pipelines.

Skills

Probability

Statistics

Machine Learning

Python Programming

C++

Education

Bachelor's in Mathematics

Master's/PhD in Quantitative Field

Tools

Docker

Airflow

SLURM

Linux Stack

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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