Financial Data Engineer Intern (Summer 2026)

Transamerica•Cedar Rapids, IA

2d•$30 - $33•Hybrid

About The Position

Internships are short-term work experiences for a designated period of time that allow college students the opportunity to observe and participate in the professional work environment, to explore how his/her interests relate to possible careers, and to gain practical experience in an industry relating to their field of study. 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.

Requirements

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.

Nice To Haves

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

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.

Benefits

Competitive Pay
Bonus for Eligible Employees
Benefits Package
Pension Plan
401k Match
Employee Stock Purchase Plan
Tuition Reimbursement
Disability Insurance
Medical Insurance
Dental Insurance
Vision Insurance
Employee Discounts
Career Training & Development Opportunities
Paid Time Off starting at 160 hours annually for employees in their first year of service.
Ten (10) paid holidays per year (typically mirroring the New York Stock Exchange (NYSE) holidays).
Be Well Company holistic wellness program, which includes Wellness Coaching and Reward Dollars
Parental Leave – fifteen (15) days of paid parental leave per calendar year to eligible employees with at least one year of service at the time of birth, placement of an adopted child, or placement of a foster care child.
Adoption Assistance
Employee Assistance Program
Back-Up Care Program
PTO for Volunteer Hours
Employee Matching Gifts Program
Employee Resource Groups
Inclusion and Diversity Programs
Employee Recognition Program
Referral Bonus Programs