Description
The Portfolio Risk and Economic Capital analyst role is part of the Asset Risk Function, responsible for forecasting Motability Operation's key financial risks, including Residual Value, SMR, Insurance Lease Pricing, and Economic Capital, as well as producing customer pricing. The role ensures MO's Minimum Capital Requirement and Capital Buffers levels are met, and provides actionable insights related to the UK's largest fleet portfolio risk.
Reporting to the Economic Capital and Portfolio Risk Manager, key responsibilities include:
- Operational delivery of Economic Capital activities, managing data, assumptions, model updates, forecasts, and third-party collaborations, ensuring adherence to governance and stakeholder alignment.
- Maintaining in-depth knowledge of MO's business model to guide the application of Economic Capital activities across various risks, including residual value, insurance, treasury, credit, operational, and climate risks.
- Understanding external benchmarks, economic capital models, theory, and regulatory capital to challenge and develop our capital model positioning.
- Translating model outputs into business outcomes, understanding implications of decisions to inform senior management.
- Proposing and implementing enhancements to data, modeling, risk capture, and communication tools to support business outcomes.
- Coordinating with third parties to bridge business knowledge and model updates.
- Delivering Portfolio Risk activities with clear, action-oriented communication.
- Engaging stakeholders to develop insights, identify gaps, and challenge risk views and mitigation strategies.
- Coaching colleagues on economic capital and portfolio risk theory and application.
- Supporting asset risk BAU and strategic projects, including transitions to EVs.
- Building relationships within Asset Risk and externally, advocating for MO interests and best practices.
Qualifications
- Ability to analyze complex data, identify trends, and patterns.
- Expertise in statistics, probability, and mathematics.
- Attention to detail in models and forecasts.
- Understanding of business and theoretical concepts.
- Capability to develop solutions for complex statistical problems.
- Ability to communicate technical concepts to non-technical stakeholders.
- Understanding of business environment, market trends, and financial impacts to align models with strategic goals.
Minimum criteria
- Strong technical skills in modeling software and programming languages (Python, R, MATLAB).
- Extensive risk experience (market, credit, operational), including risk calculation and impact on capital.
- Familiarity with financial regulations and compliance.
- Experience in building, implementing, and operating capital models, and working with third parties on industry insights.