Credit Risk Analytics & Modelling Manager

Recruiter
Aspire Date Recruitment
Location
London
Salary
£62000 - £74000 per annum, Benefits: Car, bonus & benefits packagetxtSalaryFrom=62000
Posted
16 Apr 2017
Closes
16 May 2017
Contract Type
Permanent
Hours
Full Time
Credit Risk Analytics & Modelling Manager – Risk Analytics & Oversight
London, to  £74,000 + car, bonus & benefits 

A high profile role to lead and develop a team of modelling and analytical experts to build and deliver industry leading credit risk models and other analytical solutions to support decision making. 

Key Accountabilities 

- Pro-actively manage relationships with business stakeholders to build appropriate plans for agreed model developments: Own the communication with stakeholders on outputs of analysis, business implications and progress against model development plans.
- Manage a team of analysts and senior analysts to deliver against agreed plans and timescales, assisting the team with analysis and model development when required.
- Provide technical leadership and coaching to senior analysts and analysts in the team, and work with Analytics & Oversight senior managers to support and develop wider initiatives across the Department.
- Develop, raise awareness of and ensure team adhere to best practices within all aspects of Analytics & Oversight modelling and analytics
- Be an innovator of new cutting edge practices and share innovations on all aspects of technical developments and analytics across Analytics & Oversight team.
- Lead and manage multiple workstreams, allocating work to balance task completion and team development, ensuring that all developments and analysis are of highest technical quality, can be implemented, meet business requirements and are delivered on time and to budget.
- Oversee the scoping, design, development, validation and implementation aspects of developments, using innovative approaches and exploring the use of new echnical/statistical methods.
- Ensure highest standards of design, technical competency, coding etc, is used within the team.

 Experience

- Extensive experience in the development and use of risk models in Retail Banking and expert knowledge of modern risk management techniques within Retail Banking.

- A good degree in a numerate subject with knowledge of advanced statistical and analytical
techniques - Experienced and competent in the use of computer-based software and/or statistical packages (e.g., SAS, SPSS, R, Matlab, C, C++,, JAVA. EViews) for developing predictive model suites, including on large datasets or time series of data.
- Experience of managing end to end projects and multiple stakeholder relationships effectively.
- Natural ability with numbers, with the ability to work quickly and at a high level of detail and accuracy, and a highly analytical approach to problem solving.
- A high level of creativity, drive, innovation and initiative – a self starter.