Skip to main content

This job has expired

You will need to login before you can apply for a job.

Risk Modelling Senior Analyst

Employer
M&G plc.
Location
Edinburgh, United Kingdom
Salary
Competitive
Closing date
Nov 8, 2024
View more categoriesView less categories
Job Function
Accounting/Audit/Tax
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
At M&G our purpose is to give everyone real confidence to put their money to work. As an international savings and investments business with roots stretching back more than 170 years, we offer a range of financial products and services through Asset Management, Life and Wealth. All three operating segments work together to deliver attractive financial outcomes for our clients, and superior shareholder returns.

Through our behaviours of telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.

We will consider flexible working arrangements for any of our roles and also offer work place accommodations to ensure you have what you need to effectively deliver in your role.

Role

The individual should ideally bring multi-asset knowledge and quantitative modelling skills. The role will include a mixture of technical work (development work and business-as-usual) and communication with various stakeholders.

This is a permanent position, reporting to a Risk modelling Manager, which has a blended approach between working from home and our Scotland, London or Mumbai offices.

The wider Risk Modelling team is responsible for economic and market-related methods and assumptions used to place a value on benefits that M&G provides to customers and the assets used to back these liabilities, both on a best estimate basis and for the additional capital held to protect solvency under adverse events. In particular:
  • The annual calibration of market and credit risks, as well as the dependency structure between risks, which includes collecting data, refreshing analyses, understanding changes, rationalising judgements and presenting conclusions and proposals to senior stakeholders.
  • The refresh of team-owned Solvency II Matching Adjustment policies and the performance of compliance and monitoring exercises required by these policies.
  • Maintaining the methodology for valuing M&G's lifetime mortgage business in base and stressed conditions.
  • Undertaking ongoing development to the methodology and tools which underpin the calibrations. This involves research and implementation of enhancements, with associated testing and communication. The implementation of new risk models requires interaction with Finance colleagues and the IT developers who own the underlying engine, as well as the users who run the tools.
  • The production of regular market data packs, with responsibility for delivering accurate and timely reports to end users across M&G.
  • The refresh of Solvency II Pillar 1 Group-wide Operating Standards for the production of Solvency II Own Funds and regulatory capital, including ensuring these keep up to date with change in the regulatory environment.
  • The supporting of other asset-related reviews and projects.

Key Responsibilities for this role
  • To 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, customers outcomes and a reduction in M&G's operational risk.
  • To continue the development of economic and market-related methods and assumptions used to, for example, value options and guarantees, calculate regulatory capital.
  • To ensure appropriate governance.
  • To generate new ideas, make improvements to existing processes and manage expectations.

Key Knowledge, Skills & Experience

Essential:
  • Bachelor's degree, Master's degree or PhD in a quantitative subject, e.g. mathematics, computer science, actuarial science.
  • 3+ years' experience of quantitative modelling gained within the insurance, banking or asset management industry.
  • Good knowledge of financial markets.
  • Good knowledge of multiple assets.
  • Good understanding of statistics and statistical methods (e.g. stochastic simulation, VaR methodology and back-testing).
  • Good practical experience of development in Python / C++.
  • The ability to implement novel technical solutions that are pragmatic, so they fit within business needs and produce analysis to support solutions.
  • 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.

Desirable:
  • Professional designations such as CFA, FRM, FIA/FFA would be viewed as favourable.
  • Experience with research and development of stochastic models is a strong plus.

Work Level: Experienced Colleague
Close Date: 6th November 2024

We have a diverse workforce and an inclusive culture at M&G plc, underpinned by our policies and our employee-led networks who provide networking opportunities, advice and support for the diverse communities our colleagues represent. Regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.

Sign in to create job alerts

Sign in or create an account to start creating job alerts and receive personalised job recommendations straight to your inbox.

Create alert