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Internship Quantitative Developer Jobs in Iowa (NOW HIRING)

... Quantitative Finance, Statistics, Mathematics, Economics, or other quantitative discipline ... Previous internship or graduate/undergraduate research experience in a related field, such as model ...

$23 - $50/hr

Actuarial Summer Internship Program For 12 weeks, our Actuarial Summer Internship program gives ... programming or quantitative analysis * Knowledge of current insurance trends preferred

$35/hr

... quantitative field; must remain enrolled in a degree-seeking program after the internship ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

New

$35/hr

... quantitative field; must remain enrolled in a degree-seeking program after the internship ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

New

$35/hr

... quantitative field; must remain enrolled in a degree-seeking program after the internship ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

New

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Internship Quantitative Developer information

What does an internship quantitative developer do?

An Internship Quantitative Developer assists in designing and implementing quantitative models and tools used in financial analysis, trading, or risk management. They work closely with quantitative analysts and software engineers to develop algorithms, analyze data, and optimize trading strategies. The role typically involves programming, data analysis, and collaborating on research projects, providing valuable hands-on experience in quantitative finance.

What kinds of projects and tasks can an internship quantitative developer expect to work on during their internship?

As an Internship Quantitative Developer, you can expect to work on a variety of projects such as developing and optimizing trading algorithms, analyzing large financial data sets, and creating back-testing frameworks to evaluate model performance. You may also assist in implementing code for pricing, risk management, or automated trading strategies under the guidance of senior quants and developers. Collaboration is common, as you’ll often work closely with quantitative analysts, traders, and software engineers to understand requirements, troubleshoot issues, and refine solutions. This hands-on exposure provides valuable learning opportunities and can be a stepping stone toward a full-time quantitative or developer role.

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

To thrive as an Internship Quantitative Developer, you need a solid background in mathematics, statistics, and programming—typically supported by progress toward a degree in quantitative fields like computer science, engineering, or finance. Familiarity with technical tools such as Python, C++, MATLAB, and version control systems, as well as experience with financial data platforms, is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with teams and interpret complex data. These competencies are crucial for developing robust quantitative models and contributing meaningfully to financial technology projects in a fast-paced environment.

What is the difference between Internship Quantitative Developer vs Quantitative Analyst?

AspectInternship Quantitative DeveloperQuantitative Analyst
Required CredentialsUndergraduate or graduate degree in finance, math, or computer science; programming skillsDegree in finance, economics, or related field; strong analytical skills
Work EnvironmentInternship setting within financial firms, focusing on coding and model developmentFull-time role analyzing data, developing models, and providing trading insights
Employer & Industry UsageUsed by hedge funds, investment banks, and asset managers during internship programsCommon in investment firms, banks, and hedge funds for ongoing analysis

Internship Quantitative Developers typically focus on coding and developing trading algorithms during their internship, while Quantitative Analysts analyze data and develop models in a full-time capacity. Both roles require strong quantitative skills, but the internship is a temporary entry point, whereas the analyst role is a permanent position.

What are popular job titles related to Internship Quantitative Developer jobs in Iowa?

For Internship Quantitative Developer jobs in Iowa, the most frequently searched job titles are:

Infographic showing various Internship Quantitative Developer job openings in Iowa as of August 2026, with employment types broken down into 10% Internship, 61% Full Time, 25% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

$22/hr

Full-time

Posted 5 days ago


Job description

At FHLB Des Moines, we work each day to develop an inclusive culture that supports and leverages the complexity of a diverse workforce. This enables us to effectively serve the needs of our members and help them succeed.

At FHLB Des Moines, we work each day to develop an inclusive culture that supports and leverages the complexity of a diverse workforce. This enables us to effectively serve the needs of our members and help them succeed.
The Model Risk Co-Op will play an important role in assessing the Bank's model risk through End User Computing Tool (EUC) validations, model validations, risk reviews, and ongoing analysis. The Co-Op will assist the Model Risk Management Group (MRMG) in validating EUCs and financial models throughout the Bank in order to assess model reasonableness, weaknesses, and risks. The Co-Op will interact with model owners/users across the Bank to understand current model performance, development activities, and emerging risks.

Accountabilities:

Responsibilites:

  • Participate in End User Computing Tool (EUC) and Model Validation projects to conduct robust and comprehensive testing and analysis according to the Bank's policies and relevant regulatory guidelines.
  • Participate in generating validation reports detailing conclusions of the model/EUC validation and discuss findings and recommendations with management and model owners.
  • Provide analytical support for other departmental tasks as needed.
  • Assist in other model/EUC validation activities, such as assessing the control aspects of models and model-related EUCs.

Qualifications:

  • Working towards a graduate or undergraduate degree or a recent graduate with concentration in Quantitative Finance, Statistics, Mathematics, Economics, or other quantitative discipline.
  • Understanding of financial market concepts and basic fixed-income analytics.
  • Understanding of stochastic processes, time series analysis, principal component analysis, optimization, logistic regression, Monte Carlo simulation.
  • Proficiency with Microsoft Office applications (Excel, Word, PowerPoint, Outlook).
  • Previous internship or graduate/undergraduate research experience in a related field, such as model validation, financial modeling, data science, machine leaning and predicative modeling is desirable.
  • Proficiency with at least one of the programming languages such as Python or R is desirable.
  • Strong written and oral communication skills required. Ability to write clear technical reports and memos. Must be able to communicate and maintain relationships with model owners and other stakeholders.

Compensation Range:

Hourly: $22.00 - $22.00

This compensation range represents the Bank's good faith and reasonable estimate of possible compensation at the time of hire. Offer to be determined by selected applicant's education, experience, knowledge, skills & abilities, as well as internal equity and alignment with market data.

At FHLB Des Moines, we work to create an inclusive culture. This enables us to effectively serve the needs of our members and help them succeed. FHLB Des Moines is proud to be an Equal Opportunity Employer. We prohibit discrimination on the basis of race, color, religion, sex (including pregnancy, sexual orientation or gender identity), national origin, age, disability, veteran status, genetic information (including family medical history), status as a parent or any other characteristic protected by federal, state or local law.