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Internship Machine Learning Quant Jobs in Columbus, OH

DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the ...

DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the ...

D. or Master's degree in a quantitative discipline (such as computer science, statistics, or mathematics) with a minimum of four years' experience applying advanced machine learning techniques to ...

Machine Learning Engineer II

Columbus, OH

$94K - $128K/yr

D. or Master's degree in a quantitative discipline (such as computer science, statistics, or mathematics) with a minimum of four years' experience applying advanced machine learning techniques to ...

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

D. or Master's degree in a quantitative discipline (such as computer science, statistics, or mathematics) with a minimum of four years' experience applying advanced machine learning techniques to ...

... machine learning, or artificial intelligence techniques. This position is also responsible for ... quantitative tools used in the areas of pricing, profitability, and product strategy. Essential ...

... machine-learning models for specific business needs using statistics, advanced mathematical techniques, and/or computer science. The Quantitative Analytics Manager leverages advanced mathematical ...

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Internship Machine Learning Quant information

See Columbus, OH salary details

$24.6K

$41.1K

$85K

How much do internship machine learning quant jobs pay per year?

As of Aug 23, 2026, the average yearly pay for internship machine learning quant in Columbus, OH is $41,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $44,400.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What are the most commonly searched types of Machine Learning Quant jobs in Columbus, OH?

The most popular types of Machine Learning Quant jobs in Columbus, OH are:

What are popular job titles related to Internship Machine Learning Quant jobs in Columbus, OH?

For Internship Machine Learning Quant jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Internship Machine Learning Quant jobs in Columbus, OH look for?

The top searched job categories for Internship Machine Learning Quant jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Internship Machine Learning Quant jobs?

Cities near Columbus, OH with the most Internship Machine Learning Quant job openings:

Quant Analytics [Multiple Positions Available]

JPMorgan Chase & Co

Columbus, OH • On-site, Remote

Full-time

Medical, Retirement

Posted 4 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 496 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description

DESCRIPTION:

Duties: Apply strategic, data science and quantitative skills within Regulatory Operations including Suspicious Activity Reporting, Know Your Customer processes, fraud detection, dispute resolution, and credit bureau furnishing compliance. Engage stakeholders and consolidate partnerships to continuously understand business drivers, goals, priorities and opportunities. Develop knowledge of operational processes managed within the pillar and help uncover opportunities for data analysis and automation. Partner with subject matter experts and management to deliver automation solutions from idea conception through implementation. Manage data science and analytics strategies including recommendations on analytical products, services, protocols, and standards across the firm. Invent creative and innovative ways to answer key business questions by leveraging analytics and automation to improve efficiency and productivity of business users through automation and self-service. Shorten the analytics development lifecycle and increase the velocity at which analysts can disseminate insights. Socialize, promote, and support the implementation of the analytic solution, working with teams across all business units to identify and recommend ways to leverage it for specific deliverables, including automation solutions, dashboards, reports, adhoc requests, deep dives, and industry study research. Deliver practical data insights in a compelling manner actionable by senior leadership using presentations, discussions, and visualizations. Build and deploy machine learning models including classification models, predictive models, and recommendation systems to identify patterns in financial transactions, credit bureau data, and operational data. Research and evaluate emerging analytical technologies and AI methodologies to identify opportunities for business process improvement and automation. Utilize behavioral analytics techniques to analyze customer behavior patterns and identify anomalies in operational processes. Design and develop ETL procedures to combine complex high volume data from multiple sources including credit bureau data and create interactive dashboards and reports using business intelligence tools. Lead and manage a team of Quantitative Analysts, including assigning tasks, providing technical guidance, conducting performance reviews, and ensuring timely project delivery. This position requires 15% domestic travel to JPMC U.S. offices for internal meetings.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Computer Science, Computer Information Systems, Business Analytics, Data Science, Data Analytics, Advanced Analytics or related field of study plus 5 years of experience in the job offered or as Quant Analytics Associate Sr, Data Reporting Analyst, Data Scientist, Advisory Associate Solution Advisor, or related occupation. Experience in the occupation may be gained through professional work experience, graduate work experience, or internships.  

Skills Required: This position requires experience with the following: Building supervised machine learning models including logistic regression, multivariate regression, classification techniques, cohort analysis, associative rule mining, and predictive modeling; Advanced techniques including graph analytics, node embeddings, dimensionality reduction, and recommendation systems; Behavioral analytics for identifying patterns and trends in large datasets; Conducting research to explore open-ended analytical problems and designing machine learning solutions; Leading analytical projects end-to-end from problem definition and hypothesis formulation through data analysis, model development, implementation, and stakeholder presentation; Python for data manipulation, automation, machine learning development, and text mining using NLTK; SQL for query optimization and database management; Tableau for end-to-end dashboard development and deployment on Tableau Server; SAS for statistical analysis and production pipelines; Alteryx for workflow automation and ETL procedures; Excel and VBA for interactive reports including lookup, index match, pivots, and data analysis add-ons; On-premises databases including Teradata and Oracle, and Cloud platforms including AWS and Snowflake; Automation tools including Alteryx and Python; and SharePoint. Experience in the occupation may be gained through professional work experience, graduate work experience, or internships.  

Job Location: 3401 Morse Xing, Columbus, OH 43219. This position requires 15% domestic travel to JPMC U.S. offices for internal meetings. Telecommuting not permitted.

Full-Time. 
 

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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