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Internship Python Quant Jobs in Ohio (NOW HIRING)

Operations Research Analyst

Beavercreek, OH

$91K - $108K/yr

Collaborate with team members to conduct quantitative and qualitative analyses that inform ... internship, or projectbased) developing or utilizing analytical models using Python, R, or C+

Operations Research Analyst

Beavercreek, OH · On-site

$91K - $108K/yr

Collaborate with team members to conduct quantitative and qualitative analyses that inform decision ... internship, or project-based) developing or utilizing analytical models using Python, R, or C+

Operations Research Analyst

Beavercreek, OH · On-site

$91K - $108K/yr

Collaborate with team members to conduct quantitative and qualitative analyses that inform decision ... internship, or project-based) developing or utilizing analytical models using Python, R, or C+

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Internship Python Quant information

What is an internship Python quant?

An Internship Python Quant is a student or recent graduate position that focuses on quantitative analysis in fields like finance, trading, or data science, using Python as the primary programming language. Interns in this role typically work on tasks such as data analysis, model development, and algorithmic trading strategies, often supporting senior quantitative analysts or researchers. The position helps interns gain hands-on experience with financial data, statistical modeling, and the application of Python programming to solve real-world quantitative problems.

What types of projects can an internship Python quant expect to work on, and how do these contribute to professional development?

As an Internship Python Quant, you can expect to work on data analysis, financial modeling, and algorithm development projects that support trading strategies or risk management. These projects often involve cleaning and analyzing large datasets, implementing statistical models, and automating reporting processes using Python. Collaborating closely with senior quants and traders, you'll gain practical exposure to real-world finance problems and enhance your coding, analytical, and communication skills—an excellent foundation for a future full-time quant role.

What are the key skills and qualifications needed to thrive as an internship Python quant, and why are they important?

To thrive as an Internship Python Quant, you need strong quantitative and analytical skills, foundational knowledge in mathematics or finance, and proficiency in Python programming. Familiarity with data analysis libraries (such as NumPy, pandas, and matplotlib), version control systems like Git, and experience with financial modeling tools are typically required. Attention to detail, problem-solving ability, and effective communication are standout soft skills for collaborating with teams and interpreting complex data. These skills are crucial for developing accurate quantitative models and delivering actionable insights in a fast-paced financial environment.

What is the difference between Internship Python Quant vs Quantitative Analyst?

AspectInternship Python QuantQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate in finance, mathematics, or computer scienceBachelor's or master's in finance, mathematics, or related fields; often requires experience
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time, professional environment, responsible for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial institutions, asset management firms, hedge funds
Common Search & ComparisonYesYes

The Internship Python Quant is an entry-level position focused on learning and supporting quantitative trading strategies using Python. In contrast, a Quantitative Analyst is a full-time professional responsible for developing and implementing complex models for trading and risk management. The internship provides foundational experience, while the analyst role involves greater responsibility and expertise.

Is a Python internship worth it?

A Python internship provides practical experience in programming, data analysis, and scripting, which can enhance a candidate's skills and employability in tech roles. It often offers exposure to real-world projects, networking opportunities, and a pathway to full-time positions in data science, software development, or quantitative analysis.

Quant Analytics [Multiple Positions Available]

Columbus, OH • On-site, Remote


JP Morgan Chase
Finance and Insurance • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 497 frontline employees who took The Breakroom Quiz

72nd of 172 rated banks

People enjoy working here

Good employer

Recommended by students


Full-time

Medical, Retirement

Posted 9 days ago


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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