Quantitative Researcher, Machine Learning - Work From Home - R

Overview

Remote
$120,000 - $150,000
Full Time

Skills

Chicago IL Jobs
Quantitative Researcher
Python
Machine Learning
C++
TDD
CI/CD
Linux
Trading
HPC
SLURM
Orchestration
Containerization
Financial
Programmer Analyst
Programming
Software Developer
Remote
Work From Home
Chicago Recruiters
Information Technology Jobs
IT Jobs
Chicago Recruiting

Job Details

Quantitative Researcher, Machine Learning - Work From Home

We are seeking a talented and self-motivated Quantitative Researcher to join our growing data science efforts. You will work in a collaborative team with the potential to deliver significant contributions through data-driven insights and by providing high-quality research tools enabling reproducible and well-tested research to take place across the firm. Our culture emphasizes teamwork and focuses on continuous integration and test-driven development.

The ideal candidate will be responsible for designing, developing, and enhancing our python data science tools and frameworks. This includes working collaboratively with multiple trading teams, conducting alpha research, identifying new trading opportunities, and monitoring models in production. This position is 100% Remote.

Quantitative Researcher Responsibilities:

- Develop predictive models and use data-driven insights to maximize strategy performance and identify new trading opportunities.

- Design and implement robust and scalable CI/CD data pipelines.

- Translate machine learning algorithms into code.

- Support current strategies and help develop new strategies utilizing our proprietary software.

- Stay up to date on cutting-edge machine learning techniques.

Quantitative Researcher Qualifications:

- Bachelors in mathematics, physics, computer science, or a related quantitative field with at least 4 years of relevant work experience or Masters/PhD in mathematics, physics, computer science, or a related quantitative field with at least 2 years of relevant work experience.

- Strong GPA (3.5 or higher).

- Strong knowledge of probability, statistics, and machine learning for time-series data.

- Excellent programming skills in Python (C++ familiarity is a plus).

- Experience with software engineering best practices including TDD and CI/CD.

- Experience with distributed computing.

- Prior experience developing on a Linux stack.

- Effective prioritization while being mindful of long-term objectives.

- Able to take ownership of projects in a fast-paced collaborative environment.

- Strong attention to detail.

- Outstanding communication skills to collaborate with different stakeholders across multiple geographical locations.

- Practical experience applying machine learning techniques for trading applications is preferred.

- Experience with high-performance computing (HPC) environments such as SLURM is preferred.

- Experience with orchestration and containerization tools (e.g. Singularity, Docker, Airflow, Prefect, etc.) is preferred.

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