Financial Data Engineer Intern (Summer 2026)
The Financial Data Engineer Intern will assist with the integration of asset, derivative and liability models to provide valuation, forecasts, and strategy projections for business lines. They will assist with the automation of existing processes and introduce new methods to improve forecasts and increase first turn quality of results.
Responsibilities:
- Code using Python and/or SQL.
- Optimize business performance by enhancing the alignment between business processes and IT, building and sustaining a process-managed Asset and Liability Management (ALM) organization.
- Focus on the human, organizational and value stream aspects of business processes and their transformation.
- Collect and analyze process data to initiate, develop and recommend business practices and procedures that focus on improved analytics, increased productivity and reduced cost.
- Implement automated processes for all aspects of ALM, including investment analytics, trade processing and hedge design.
- Analyze and measure the effectiveness of existing business processes and develop sustainable, repeatable, and quantifiable business process improvements.
- Collaborates with IT, Finance, Actuarial and other areas throughout the firm to ensure that ALM processes are compatible with firm objectives and technology environment.
- Determine how new information technologies can support reengineering business processes.
- Help to reengineer legacy processes without disrupting business as usual.
Qualifications:
- Currently pursuing a master’s degree in Computer Science, Data Engineering, Big Data, Quantitative Finance, Financial Modeling, or a similar program.
- Internships are not available for students who have completed their college education or who will graduate prior to the conclusion of the internship.
- Excellent working knowledge of database/data warehouse programming in Python.
- Some knowledge of finance modeling.
- Strong communication skills.
- Experience in process engineering, accounting, financial technology, or quality control
- Derivative knowledge and basic experience of data processing in Microsoft Power BI a plus.
- Decent technical writing skills.
Preferred Qualifications:
- Previous data engineering experience.
- Proficiency with Python libraries (NumPy and Pandas).
- SQL knowledge; experience writing and optimizing queries is a strong plus.
- Exposure to AWS services; ability to work within a cloud‑based system environment.
- Experience in AI/ML, including developing or contributing to AI solutions or models.
- Prior hands-on work in AI projects is highly valued, especially large or technically complex initiatives.
- Knowledge or exposure to insurance industry
Working Conditions:
- Interns will work hybrid in Baltimore, MD or Cedar Rapids, IA.
- Tuesday, Wednesday, and Thursday will be in office; Monday and Friday will be work from home days.
Rewards & Compensation:
In addition to gaining exposure to the financial services and insurance industry, students gain access to intern exclusive events and networking opportunities throughout the summer while receiving a competitive compensation.
Compensation:
The salary for this position generally ranges $30-$33 an hour for graduate students. Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law. Full-time interns will receive an intern allowance to cover costs of relocation including housing, mileage, and travel expenses.
Disclaimer:
Beware of fake job offers!
We’ve been alerted to scammers impersonating Transamerica recruiters, particularly for remote positions. Please note:
We will never request personal information such as ID or payment for equipment upfront.
Official offers are sent via DocuSign following a verbal offer—not through text or email.