Quantitative Researcher, Machine Learning - Work From Home

Remote Jobs; Chicago (IL); Remote; USD 125,000 - 150,000; Full time

Job summary

A leading financial services company is seeking a qualified professional to develop predictive models and enhance trading strategies. Role includes opportunity for remote work and career advancement with a focus on machine learning techniques. Candidates must have a relevant degree and extensive experience in programming, particularly in Python. Competitive salary starting at $80K+/year.

Benefits

Comprehensive benefits including medical insurance

Retirement plan

Paid time off (PTO)

Career advancement opportunities

Qualifications

• Minimum of 4 years relevant work experience or 2 years with a Master's/PhD.
• Practical experience in applying machine learning techniques in trading applications is preferred.
• Strong ability to prioritize tasks while keeping long-term objectives in mind.

Responsibilities

• Develop predictive models and enhance strategy performance.
• Design and implement robust CI/CD data pipelines.
• Translate machine learning algorithms into code.
• Support existing strategies and develop new ones.

Skills

Probability and statistics

Machine learning for time-series data

Programming in Python

Software engineering best practices

Education

Bachelor's degree in a quantitative field (4 years of experience) or Master's/PhD (2 years of experience)

Strong GPA of 3.5 or higher

Tools

Python

C++

Docker

Airflow

Linux

Job description

Overview

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

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

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)

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

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