This position is 100% Remote. Machine Learning Quantitative Researcher Responsibilities: We are seeking a talented and self-motivated Quantitative Researcher to join a growing data science efforts.
This position is 100% Remote. Machine Learning Quantitative Researcher Responsibilities: We are seeking a talented and self-motivated Quantitative Researcher to join a growing data science efforts.
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Hourly Remote Machine Learning information
What is the difference between Hourly Remote Machine Learning vs Hourly Remote Data Scientist?
| Aspect | Hourly Remote Machine Learning | Hourly Remote Data Scientist |
|---|---|---|
| Required Credentials | Typically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are common | Requires a degree in statistics, data science, or related fields; certifications in data analysis or statistical modeling are beneficial |
| Work Environment | Remote, project-based, often involves developing algorithms and models | Remote, analytical focus, involves data analysis, visualization, and insights generation |
| Employer & Industry Usage | Tech companies, AI startups, research institutions | Business, finance, healthcare, tech firms |
Hourly Remote Machine Learning professionals focus on developing algorithms and models, often requiring specialized AI knowledge, while Hourly Remote Data Scientists analyze data to generate insights. Both roles are remote, but their core tasks and industry applications differ slightly.
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Machine Learning Quantitative Researcher - Work From Home
Next Step SystemsChicago, IL • On-site, Remote
Full-time
Medical, Dental, Vision, Life
Posted 19 days ago
Job description
We are currently looking for a Machine Learning Quantitative Researcher 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.
Machine Learning Quantitative Researcher Responsibilities:
We are seeking a talented and self-motivated Quantitative Researcher to join a 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.
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.
Machine Learning Quantitative Researcher Qualifications:
- Bachelor's in mathematics, physics, computer science, or a related quantitative field with at least 4 years of relevant work experience or a 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.
Machine Learning Quantitative Researcher Preferred Experience
- Practical experience applying machine learning techniques for trading applications.
- Experience with high-performance computing (HPC) environments such as SLURM.
- Experience with orchestration and containerization tools (e.g. Singularity, Docker, Airflow, Prefect, etc.).
Benefits include medical, dental, vision, health savings account, life insurance policy, short-term/long-term disability insurance, employee assistance program, etc.
Keywords: Chicago IL Jobs, Machine Learning Quantitative Researcher, Machine Learning, Quant Researcher, Statistics, C++, Python, Linux Stack, Test Driven Development, TDD, CI/CD, Distributed Computing, Trading, Financial, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago Recruiting
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Home"Machine Learning Quantitative Researcher - Work From Home
About Next Step Systems
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Naperville, IL, US
Year founded
1995