Quantitative Risk Analyst – Sustainability – M&G plc.

Quantitative Risk Analyst – Sustainability – M&G plc.

Quantitative Risk Analyst – Sustainability – M&G plc.

Efinancialcareers

Reed

Edinburgh, Midlothian

2 hours ago

No application

About

Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions. Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions. Through 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. The role:We are seeking a Quantitative Risk Analyst - Sustainability to support our efforts in strengthening our second line sustainability risk oversight activities. The ideal candidate will have experience in working on modelling sustainability risks in the context of asset management or could leverage her/his previous experience in other applied quantitative fields. This is a highly technical role requiring a strong quantitative and coding background. The Quantitative Risk Analyst - Sustainability will interact mostly with Investments, Stewardship & Sustainability, Product and other second line teams to collectively enhance sustainability risk measurement and representation across the Group. The Quantitative Risk Analyst - Sustainability will report to the Head of Risk Europe with global responsibilities for Sustainability Risk, Risk Analytics & Modelling for Asset Management. Responsibilities: Contribute to further developing quantitative sustainability risk analysis for our asset management businessSupport the design and implementation of specific sustai