Risk Management and AI Solutions Analyst

BMW Shared Services is posting this position on behalf of BMW Financial Services NA, LLC.

BMW Financial Services NA, LLC was established in 1993, supporting the sales and marketing of BMW products.

Subsequently, we have expanded beyond the leasing, retail and commercial financing of a traditional captive-finance company offering a broad variety of products tailored for the BMW, MINI and Rolls-Royce customers.

Be a part of our exciting growth by expressing an interest in our Risk Management and AI Solutions Analyst position located in Woodcliff Lake, NJ.

WHAT AWAITS YOU.


* Maintain current Enterprise Risk Management activities, including periodic local CVaR, RVaR, and Economic Capital calculations; identify changes and drivers; prepare documentation, tracking materials, root-cause analysis, and stress tests; and communicate results to senior leadership in coordination with central colleagues.


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

Maintain the Risk Model Inventory and Risk Guideline Exceptions Inventory as part of the broader Enterprise Risk Management framework.


* Review, revise, and update the BMW FS Risk Strategy, ensuring reconciliation with the Risk Catalogue and adequacy with regard to business requirements.

Propose changes and enhancements as required, ensure proper documentation and communication to the National Risk Committee, and ensure that the Risk Strategy remains aligned with the Local Financial Services Business Strategy as well as the Global Risk Strategy.


* Lead AI transformation topics for legacy risk processes and applications by identifying automation opportunities, defining target-state workflows, and translating manual controls into AI-assisted processes, while maintaining subject matter expertise for VaR, Economic Capital, and RoRAC concepts, related business training materials, method usage, and enhancement opportunities.

Coordinate with technology, data, risk, and central stakeholders to implement scalable AI agents and automated workflow solutions that support current and future risk measurement activities.


* Design and support AI-assisted use cases for risk documentation, workflow routing, exception tracking, model inventory governance, risk reporting, control evidence collection, and National Risk Committee preparation, with a focus on improving process quality, auditability, consistency, and speed.


* Review, revise, and update the Risk Model Governance Policy by incorporating regulatory requirements and business feedback.

Ensure understanding and adherence to the policy by affected groups and align future enhancements with AI-enabled governance, documentation, and monitoring capabilities.


* Review, revise, and update Self-Insurance Risk and Interest and Liquidity Risk policies, as well as RASICs among Risk Management and Risk Controlling as they relate to ri...