Negotiable
Undetermined
Hybrid
Stirling, United Kingdom
Summary: The Risk Modelling Manager will join the Solvency II Internal Capital Model development project team at M&G, focusing on the risk modelling of illiquid credit-risky assets. This role involves technical work, drafting documentation, and stakeholder communication, contributing to the methodologies within the credit risk model. The position is a 12-month secondment with a hybrid working arrangement, allowing flexibility between home and office locations in Scotland or London. The role emphasizes collaboration across various business areas to support project plans and data requirements.
Key Responsibilities:
- Oversee the development of economic and market-related methods and assumptions used to calculate the value of liabilities, regulatory capital, and options and guarantees.
- Work collaboratively with colleagues and take personal accountability to maintain and enhance controls you are responsible for to support improvement of the overall control environment, customer outcomes and a reduction in M&G's operational risk.
- Lead the production and delivery of the tasks for which the role holder is responsible.
- Have responsibility for ensuring that team processes run smoothly, co-ordinating input from others.
- Ensure appropriate stakeholder management and governance.
Key Skills:
- Bachelor's degree, Master's degree or PhD in a quantitative subject, e.g. mathematics, computer science, actuarial science.
- A track record of successful delivery in pressured environments with the ability to cope with competing demands.
- Experience of developing working relationships with key stakeholders.
- Experience of presenting findings and results, and building an understanding of audience-specific communication requirements.
- Experience in quantitative modelling gained within the insurance, banking or asset management industry.
- Comprehensive knowledge of financial markets.
- Good knowledge of multiple asset types.
- Good understanding of statistics and statistical methods (e.g. stochastic simulation, VaR methodology and back-testing).
Salary (Rate): undetermined
City: Stirling
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Finance