Intern, Strategic Risk - Summer 2025

WHAT AWAITS YOU.


* Use a combination of exploratory analysis and data mining techniques to identify and understand trends and anomalies and apply statistical inference to draw conclusions from data.


* Utilize analytical and programming skills to collect, analyze, and interpret large data sets and use statistical tools / platforms like SAS, Python, R to develop data-driven solutions to difficult business challenges.


* Collaborates with the Data Scientists across business lines with processes and tools to monitor and analyze model performance and data accuracy.


* Support various residual value and credit risk related modelling topics, including documentation, communication, implementation, maintenance and updates.


* Assist and provide feedback to the Enterprise Risk Analyst in order to support Model Risk Management (MRM).


* Compile and review the BMW FS Risk Catalogue by communicating with various stakeholders, collecting information, and keeping up with changing business needs.

Ensure that the risk strategy is in line with Local Financial Services Business Strategy as well as the Global Risk Strategy.


* Review, revise, and update BWM FS Risk Strategy and Risk Model Governance Policy.

Propose changes and enhancements as required.

Ensure proper documentation and communication to the National Risk Committee and understanding and adherence to the Policy by all affected groups.

WHAT YOU SHOULD BRING.


* Currently enrolled in a bachelor or master's degree program at an accredited college or university


* Possess a minimum cumulative GPA of 3.0 (not just in major)


* Have completed at least 60 college credits or be at least a rising Junior


* Field of study: Risk Management, Statistics, Finance, Business Analytics, or a related field


* Must attach a copy of college unofficial transcript


* Ability to work full-time (36.25 hours/week)


* Prior BMW Group experience (applicable to international J1 students only)


* Relevant coursework or prior internship experience in finance, accounting, or data analysis


* Proficient in Microsoft Office suite, particularly Excel, PowerPoint, and Word


* Experience with data visualization tools (e.g., Tableau, Power BI) and creating impactful dashboards and reports


* Basic understanding of programming languages (e.g., Python, SQL) for data extraction, manipulation, and analysis


* Knowledge of financial modeling and forecasting techniques


* Strong attention to detail, analytical and critical thinking abilities to identify trends, patterns, and insights from data


* Excellent written and verbal communication skills to effectively present findings and recommendations


* Ability to translate complex financial and business data into clear, actionable recommendations

WHAT YOU CAN LOOK FORWARD TO.


* Medical Insurance


* Paid Time Off in addition to Company paid holidays where eligible


* Hybrid work environment
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