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Internship Machine Learning Finance Jobs in Wisconsin

WI · On-site

$180 - $240/hr

Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built ...

Kohler Intern - Finance

Kohler, WI · On-site

$18 - $23.75/hr

Over thecourse of a 10-12-week internship, interns are immersed in thebusiness-contributing to real ... Strengthen business acumen by learning how finance connects to operations, commercial priorities ...

WI · On-site

$85 - $115/hr

Together with our equally eminent colleagues of the Data & Analytics team, we also work on Machine Learning applied to credit risk as well as climate risk modelling for financial institutions as part ...

New

Unique Benefits of our Internship Program: * You will get the farm to fork experience during this program. You will experience a farm tour, facility tours, and experience the end user products.

Showing results 41-60

Internship Machine Learning Finance information

What is an internship machine learning finance?

Internship Machine Learning Finance positions are temporary roles where students or recent graduates work with financial organizations to apply machine learning techniques to solve finance-related problems. Interns may analyze large datasets, build predictive models, automate trading strategies, or detect fraud using machine learning algorithms. These internships provide hands-on experience in both finance and artificial intelligence, helping interns develop technical and industry-specific skills. They often require a background in programming, statistics, and a basic understanding of financial concepts.

What types of projects do interns typically work on in a machine learning finance internship?

As a Machine Learning Finance intern, you can expect to work on a variety of projects that blend quantitative analysis with practical financial applications. Common responsibilities include developing predictive models for stock prices or credit risk, analyzing large financial datasets, and building tools to automate trading strategies or detect fraud. Interns often collaborate closely with data scientists, software engineers, and finance professionals, gaining exposure to both technical and business aspects of the field. This hands-on experience is invaluable for building real-world skills and understanding the fast-paced finance environment.

What are the key skills and qualifications needed to thrive as an intern in machine learning finance, and why are they important?

To thrive as an Intern in Machine Learning Finance, you need a foundational understanding of statistics, programming (especially Python or R), and financial concepts, often supported by progress toward a quantitative degree. Familiarity with machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), data analysis tools, and version control systems like Git is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication help you translate technical results into actionable financial insights. These skills are critical for developing robust models, supporting data-driven decision-making, and contributing meaningfully within interdisciplinary finance teams.

What is the difference between Internship Machine Learning Finance vs Data Analyst Intern?

AspectInternship Machine Learning FinanceData Analyst Intern
Required SkillsProgramming (Python, R), Machine Learning, Finance knowledgeData analysis, SQL, Excel, basic statistics
Work EnvironmentFinance firms, tech-driven finance teamsFinancial institutions, consulting firms, tech companies
Industry UsageFinance, Fintech, Quantitative researchFinance, marketing, consulting

Internship Machine Learning Finance focuses on applying machine learning techniques to financial data, requiring programming and finance knowledge. Data Analyst Internships involve analyzing data sets, creating reports, and using statistical tools. Both roles are common in finance-related industries but differ in technical focus and skill requirements.

What are popular job titles related to Internship Machine Learning Finance jobs in Wisconsin?

For Internship Machine Learning Finance jobs in Wisconsin, the most frequently searched job titles are:

What cities in Wisconsin are hiring for Internship Machine Learning Finance jobs?

Cities in Wisconsin with the most Internship Machine Learning Finance job openings:

Public Investments Quantitative Analyst Intern, Summer 2027

Northwestern Mutual Life Insurance Company

Milwaukee, WI • On-site

$30/hr

Full-time

Posted 9 days ago


Northwestern Mutual rating

8.0

Company rating: 8.0 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

166th of 310 rated insurance


Job description

Public Investments - Quantitative Analyst Internship (undergraduate-level)
Job Description
Northwestern Mutual's Public Investment Department seeks a Quantitative Analyst Intern to join us for the summer of 2027 and play a pivotal role in building out tools and conducting analyses that help shape our investment processes. We manage over $130 billion in fixed income assets, and you will collaborate directly with Portfolio Managers, Traders, and Credit Analysts to develop cutting-edge solutions.
Principal Responsibilities:
You'll have the opportunity to leverage your unique strengths and interests within a flexible role that spans data, modeling, visualization, and applications. Your activities will center around driving investment performance through innovative improvements to our investment processes, such as relative value analysis, portfolio construction, trading tools, risk measurement, and more.
  • Build & maintain data models: Collaborate with data engineers to onboard new data sources, design and implement dbt SQL models for data cleaning and integration, and write robust data quality tests to ensure data integrity.
  • Develop interactive data visualizations: Create insightful dashboards and applications using Tableau and Streamlit to effectively communicate data and model outputs to the department's investment professionals.
  • Design and implement machine learning models: Utilize machine learning and AI techniques to develop predictive models, optimize model parameters, research new signals, and deploy models into the Snowflake production environment.
  • Apply quantitative methods: Leverage quantitative methods such as portfolio optimization, Monte Carlo simulation, risk measurement, and backtesting to enhance various aspects of the investment process.
  • Collaborate effectively: Work closely with Portfolio Managers, Traders, and Credit Analysts to better identify attractive investment opportunities through efficient data delivery, advanced models, and intuitive dashboards.

Job Requirements:
  • Progress towards a Bachelor's degree in a quantitative field (e.g., Quantitative Finance, Computer/Data Science, Finance, Mathematics).
  • Strong development skills in languages such as SQL, Python, Streamlit, dbt, etc.
  • Excellent data manipulation and data visualization skills.
  • Experience with software development practices such as version control and CI/CD pipelines is preferred.
  • Experience using Bloomberg and BlackRock Aladdin is a plus.

Interpersonal Skills
  • Passion for the art and science of investing.
  • Effective oral and written communication skills.
  • Demonstrated analytical and problem-solving ability.
  • High degree of self-motivation, passion, and a drive to learn.

About the Internship Program
Internship candidates can expect a fulltime onsite internship program, running from June 2027 to August 2027. Carefully selected from universities across the country, our interns bring distinctive ideas and perspectives to our organization. Our employees are passionate about building our emerging talent and future leaders. In addition to their day-to-day tasks, interns participate in professional development workshops, senior leadership Q&A's, volunteer initiatives, networking/social events, and more!
About the Public Investment Department
Northwestern Mutual's Public Investments Department manages over $130 billion in investment grade and high yield fixed income assets backing NM's General Account insurance products and retirement plan assets, and oversees about half of the company's total General Account assets. The team actively manages these assets with a goal of generating long-run total returns in excess of benchmarks to drive policyholder value. This role will be within the Quantitative Research & Analytics team.
Compensation Range:
Pay Range - Start:
$16.50
Pay Range - End:
$30.00
We believe in fairness and transparency. It's why we share the salary range for most of our roles. Internship salaries are determined based on academic tenure and major. The standard pay structure is listed.
Build a strong career foundation with a best-in-class company that puts our clients' interests at the center of all we do. Get started now!
Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.

What Northwestern Mutual employees say

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About Northwestern Mutual

Sourced by ZipRecruiter

Northwestern Mutual has been helping families and businesses achieve financial security for over 160 years through a distinctive planning approach that integrates risk management with wealth accumulation, preservation, and distribution. With more than $290 billion in assets, $30 billion in revenues and more than $1.9 trillion worth of life insurance protection in force, Northwestern Mutual delivers financial security to more than 4.6 million clients. People are the power behind Northwestern Mutual, and diversity makes us better. We are committed to reflecting and serving the marketplace. We do so by attracting and improving the engagement of those who bring their outstanding perspectives, ideas, and beliefs.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US