Quantitative Researcher with Machine Learning Experience Work From Home - R

Jobs via Dice; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

A leading company is seeking a Quantitative Researcher with Machine Learning experience to work remotely. This role involves designing Python tools, collaborating on trading research, and ensuring model performance. Ideal candidates will have a strong academic background and relevant experience in a fast-paced environment.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

HSA

Life Insurance

Disability Insurance

Employee Assistance Programs

Qualifications

• 4+ years of relevant experience or 2+ years with Master's/PhD.
• Strong GPA (3.5 or higher).
• Experience with software engineering best practices, including TDD and CI/CD.

Responsibilities

• Design, develop, and enhance Python data science tools.
• Collaborate with trading teams to conduct alpha research.
• Monitor models in production for optimal performance.

Skills

Probability

Statistics

Machine Learning

Python

Attention to Detail

Communication

Education

Bachelor's in Mathematics, Physics, Computer Science

Master's/PhD in related field

Tools

C++

Docker

SLURM

Airflow

Job description

Quantitative Researcher with Machine Learning Experience Work From Home - R

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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Next Step Systems, is seeking the following. Apply via Dice today!

Position: Quantitative Researcher with Machine Learning Experience (Remote)

We are currently looking for a Quantitative Researcher with Machine Learning experience for a great opportunity. The company participates in a wide variety of marketplaces including global futures, equities, commodities, options, fixed income, and cryptocurrencies. Their culture emphasizes teamwork and focuses on continuous integration and test-driven development. This position is 100% Remote.

Responsibilities:

• Design, develop, and enhance Python data science tools and frameworks.
• Collaborate with trading teams to conduct alpha research and identify trading opportunities.
• Monitor models in production to ensure optimal performance.
• Provide high-quality, reproducible, and well-tested research tools across the firm.

Qualifications:

• Bachelor's in mathematics, physics, computer science, or related field with at least 4 years of relevant experience, or a Master's/PhD with at least 2 years of experience.
• Strong GPA (3.5 or higher).
• Knowledge of probability, statistics, and machine learning for time-series data.
• Proficiency in Python; C++ familiarity is a plus.
• Experience with software engineering best practices, including TDD and CI/CD.
• Experience with distributed computing and Linux environments.
• Effective prioritization skills and ability to take ownership in a fast-paced environment.
• Strong attention to detail and excellent communication skills for collaboration across multiple locations.

Preferred Experience:

• Practical application of machine learning techniques in trading.
• Experience with HPC environments like SLURM.
• Experience with orchestration and containerization tools such as Docker, Singularity, Airflow, or Prefect.

Additional Information:

Benefits include medical, dental, vision, HSA, life insurance, disability insurance, employee assistance programs, and more.

Job Details:

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Finance and Sales
• Industries: Software Development

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