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Internship Machine Learning Quant Jobs in Columbus, OH

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect ... quantitative field or equivalent combination of education, related experience and/or military ...

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect ... quantitative field or equivalent combination of education, related experience and/or military ...

Associate Data Scientist

Dublin, OH · On-site

$56K - $57K/yr

Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and ... Bachelor's in a quantitative field (e.g., Engineering/CS/Math/Stats) + 2+ years in a data science ...

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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:

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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 Senior Associate - Deposit Pricing

JPMorgan Chase & Co

Columbus, OH • On-site

Full-time

Medical, Retirement

Re-posted yesterday


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

The Deposit Pricing and Analytics team is responsible for setting the interest rates on all deposit accounts (e.g., checking, savings, and CDs) within the retail line of business at JPMorganChase, which has the largest deposit base among all banks in the United States.

As a Quant Analytics Senior Associate on the Deposit Pricing and Analytics team you will be responsible for deposit-based strategic analytics to help inform pricing strategy. You will also be responsible for end-to-end analytics that answer challenging, open-ended questions that drive product decisions and inform on deposit trends.

Job Responsibilities:

  • Own complex, strategic analytics to determine impacts of potential pricing actions with a specific focus on CDs and elasticity testing

  • Become a firmwide expert on money movement data, using it to gauge the impact of yield-seeking behavior and macroeconomic trends on deposit balances

  • Translate analytical results into clear, compelling visual narratives and present regularly to senior leadership

  • Closely partner with pricing strategy leads as well as finance, branch network, marketing, risk, and product partners

  • Develop interactive, automated dashboards that allow partners to quickly self-serve data

  • Stay informed of competitors' changes to deposit products and pricing structures as well as broader economic trends that impact pricing strategy

  • Ensure data accuracy and integrity in all analytics and reporting

Required qualifications, capabilities, and skills:

  • 3+ years in data and analytics, finance, pricing, treasury, or a related field

  • 3+ years of experience with SQL and at least one analytic tool such as SAS, Python, or Alteryx

  • Bachelor's degree in Business Analytics, Data Science, or a related quantitative field

  • Proven ability to query large-scale datasets to solve highly complex problems

  • Demonstrate confidence and passion for using data and analytics

  • Advanced knowledge of data visualization techniques 

Preferred qualifications, capabilities, and skills:

  • A background in financial services, consumer banking, or a related industry

  • Mastery of Tableau or similar analytics platforms with experience in creating automated solutions

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.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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