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Remote Machine Learning Finance Jobs in Chicago, IL

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

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All JobsMachine Learning Finance JobsRemote Machine Learning Finance JobsRemote Machine Learning Finance Jobs in Chicago, IL

Remote Machine Learning Finance information

See Chicago, IL salary details

$25.8K

$95.4K

$139.6K

How much do remote machine learning finance jobs pay per year?

As of Jun 15, 2026, the average yearly pay for remote machine learning finance in Chicago, IL is $95,424.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $112,300.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence or machine learning, often in finance or technology sectors, with compensation including salary, bonuses, and stock options. Such roles usually require advanced skills in data science, programming, and domain expertise, and may involve leadership responsibilities or specialized technical knowledge.

What is the salary of ML in finance?

The salary for machine learning professionals in finance typically ranges from $80,000 to $150,000 annually, depending on experience, location, and specific role. Senior positions or those with specialized skills in quantitative analysis or financial modeling can earn higher compensation, often exceeding $200,000 with bonuses and incentives.

How do remote machine learning professionals in finance typically collaborate with cross-functional teams?

Remote machine learning professionals in finance often work closely with data analysts, financial experts, and software engineers to develop and deploy predictive models. Collaboration is typically facilitated through virtual meetings, shared documentation, and project management tools. Clear communication and regular check-ins are crucial for aligning goals and ensuring that machine learning solutions address real business needs. Many organizations also encourage participation in virtual workshops and code reviews to maintain a strong sense of teamwork despite the remote setting.

Can machine learning be used in finance?

Machine learning is widely used in finance, including for risk assessment, fraud detection, algorithmic trading, and portfolio management. Financial analysts and data scientists leverage tools like Python, R, and machine learning frameworks to develop predictive models and automate decision-making processes.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Finance professional, and why are they important?

To excel in Remote Machine Learning Finance, strong analytical skills, a solid background in statistics or mathematics, and experience with financial data are essential, often supported by a degree in computer science, finance, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or Scikit-learn), and knowledge of financial modeling tools are typically required. Excellent problem-solving, communication, and the ability to work independently are standout soft skills in this remote environment. These abilities are crucial for developing effective financial models, interpreting complex data, and collaborating with distributed teams to drive business value.

Which 3 jobs will survive AI?

Remote machine learning finance roles such as quantitative analysts, financial data scientists, and risk managers are likely to persist as they require complex judgment, domain expertise, and interpretative skills that AI cannot fully replicate. These jobs involve understanding financial markets, developing models, and making strategic decisions, often supported by advanced tools and certifications. Continuous learning and staying updated with AI tools can enhance job security in this field.

What is a Remote Machine Learning Finance job?

A Remote Machine Learning Finance job involves applying machine learning techniques and algorithms to financial data and problems, often from a remote location. Professionals in this field develop models to predict market trends, assess risks, automate trading, or detect fraud using large datasets. Remote roles allow employees to work from anywhere, collaborating with teams virtually and using cloud-based tools to analyze data. These positions typically require strong programming skills, knowledge of finance, and experience with machine learning frameworks.
What are the most commonly searched types of Machine Learning Finance jobs in Chicago, IL? The most popular types of Machine Learning Finance jobs in Chicago, IL are:
What are popular job titles related to Remote Machine Learning Finance jobs in Chicago, IL? For Remote Machine Learning Finance jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Finance jobs in Chicago, IL look for? The top searched job categories for Remote Machine Learning Finance jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Machine Learning Finance jobs? Cities near Chicago, IL with the most Remote Machine Learning Finance job openings:
Remote Machine Learning Finance jobs near you
Infographic showing various Remote Machine Learning Finance job openings in Chicago, IL as of June 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 100% Remote job distribution, with an average salary of $95,424 per year, or $45.9 per hour.
Machine Learning Quantitative Researcher - Work From Home

Machine Learning Quantitative Researcher - Work From Home

Next Step Systems

Chicago, IL • On-site, Remote

Full-time

Medical, Dental, Vision, Life

Posted 5 days ago

Job description

Machine Learning Quantitative Researcher - Work From Home
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
Looking to hire for similar positions in Chicago, IL or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Machine Learning Quantitative Researchers for jobs in Chicago, Illinois and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Phone 630-428-0600 ext. 11 or email us at jobs@nextstepsystems.com. Click here to submit your resume for this job and others.
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