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Financial Engineering Intern Jobs in Milwaukee, WI

... financial outcomes while reliably serving load. Job Responsibilities * Analyze and support ... Engineering, Economics and other related majors with a graduation date after July 2027 * Minimum ...

Transformation Office Intern

Waukesha, WI ยท On-site

$15 - $19.50/hr

Position Summary The Transformation Office Intern supports strategic business transformation ... Engineering, Management, Finance, Economics, Information Systems, or a related field. * Strong ...

Transformation Office Intern

Waukesha, WI ยท On-site

$15 - $19.50/hr

Position Summary The Transformation Office Intern supports strategic business transformation ... Engineering, Management, Finance, Economics, Information Systems, or a related field. * Strong ...

Ascension will never ask for payment or to provide banking or financial information as part of the job application or hiring process. Our legitimate email communications will always come from an ...

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Financial Engineering Intern information

See Milwaukee, WI salary details

$10

$19

$29

How much do financial engineering intern jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for financial engineering intern in Milwaukee, WI is $19.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $20.62 per hour, depending on experience, location, and employer.

What does a financial engineering intern do?

A Financial Engineering Intern applies quantitative techniques, programming skills, and financial theories to solve complex problems in finance. Responsibilities typically include data analysis, model development, risk assessment, and algorithm implementation for trading or portfolio management. Interns often use tools like Python, MATLAB, or Excel to analyze historical data and optimize financial strategies. They work closely with quantitative analysts, traders, and risk managers to gain hands-on experience in financial markets. This role requires strong analytical skills, coding proficiency, and a solid understanding of financial concepts.

What are the key skills and qualifications needed to thrive as a financial engineering intern?

A Financial Engineering Intern typically needs strong quantitative and analytical skills, proficiency in mathematics, statistics, and finance, and is often pursuing or has completed coursework in related fields. Familiarity with programming languages like Python, R, or MATLAB, as well as experience with data analysis tools and financial modeling software, are commonly expected. Attention to detail, eagerness to learn, teamwork, and effective communication are valuable soft skills in this role. These competencies enable interns to analyze complex financial data, collaborate with colleagues, and contribute to innovative financial solutions.

What are popular job titles related to Financial Engineering Intern jobs in Milwaukee, WI?

For Financial Engineering Intern jobs in Milwaukee, WI, the most frequently searched job titles are:

Infographic showing various Financial Engineering Intern job openings in Milwaukee, WI as of August 2026, with employment types broken down into 17% Internship, 48% Full Time, 29% Part Time, 3% Temporary, and 3% Contract. Highlights an 79% In-person, 5% Hybrid, and 16% Remote job distribution, with an average salary of $39,581 per year, or $19 per hour.

Data Engineering Intern - Platform & Product

Milwaukee, WI โ€ข On-site

Artisan Partners
Finance and Insuranceย โ€ขย 201 - 500 employees

$16.50 - $21.50/hr

Internship

Posted 7 days ago


Job description

We are seeking a curious and motivated Data Engineering Intern to join our growing Data Engineering function. In this hands-on role, you'll work alongside experienced engineers, architects, and analysts to build and test real data pipelines on our Snowflake-based cloud data platform. You'll gain experience across the data engineering lifecycle, from sourcing and transforming data to testing, documenting, and delivering trusted datasets that support analytics and AI across the firm.
The ideal candidate is a current undergraduate student with foundational programming and database skills who is eager to learn how enterprise data platforms are designed, built, and operated. Mentorship, code review, and regular feedback are built into the internship.
Location: Milwaukee, WI
Responsibilities
The candidate is expected to:
  • Help build and test data pipelines that source, transform, and deliver datasets into Snowflake
  • Write and tune SQL to explore data, validate results, and support data quality checks
  • Contribute to platform tooling such as AI semantic layers, validation utilities, and reusable pipeline components
  • Leverage AI tooling to create user experiences in our data platform
  • Participate in the team's regular routines, including sprint planning, stand-ups, and code reviews
  • Document what you build, including pipeline logic, data definitions, and how-to guides for the team
  • Scope and complete an end-of-internship project, and present the results to the Data Services team
Qualifications
The successful candidate is currently pursuing an undergraduate degree with demonstrated academic achievement. Additionally, the ideal candidate will possess:
  • Foundational SQL skills - comfortable writing queries with joins, filters, and aggregations
  • Some programming experience in Python or a similar language; coursework, personal projects, and prior internships all count
  • Familiarity with basic data concepts such as tables, relationships, and common file formats (CSV, JSON); exposure to cloud platforms, Git, or dbt is a plus but not expected
  • Interest in financial or investment data (trading, pricing, benchmarks) is a plus; industry experience is not required
  • Clear written and verbal communication, a collaborative attitude, and a willingness to ask questions

Privacy Notice for California Applicants
Artisan Partners Limited Partnership is an equal opportunity employer. Artisan Partners does not discriminate on the basis of race, religion, color, national origin, gender, age, disability, marital status, sexual orientation or any other characteristic protected under applicable law. All employment decisions are made on the basis of qualifications, merit and business need.
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