Senior Credit Risk Analyst

Cantello Tayler Recruitment
£35000 - £45000/annum
20 May 2017
19 Jun 2017
Contract Type
Full Time
Job Title: Senior Credit Risk Analyst

Role purpose:

Working as a key member of the risk analysis team to ensure the Credit Risk function is robust and managed within the key requirements of the business. The ideal candidate will have a very strong background in analytics and Credit Risk from a mortgage lending institution, preferably with experience covering the full customer lifecycle, including new lending, account management, fraud prevention and arrears management. This candidate will be a key member of this business.

Major Activities and Responsibilities:

• Provide business with data based insight and recommendations for changes and improvements to product range, application process, strategy design, collections activities and operations processes • Solving complex business problems and providing practical value based solutions.
• Build and Develop capability within the organization to design, monitor and enhance credit and fraud risk strategies and policies.
• Ensure the business operates within the regulatory requirements for new business origination through to arrears management
• Provide the business with the optimal analytical framework to make sound judgment based decisions on new lending requests
• Produce analytics to monitor and provide insight across the customer journey and lifecycle, making recommendations to change current processes and strategies
• Provide insight to and set expectation for portfolio and segment trends through targeted analysis, forecasting and the development of regular MI.
• Develop and enhance credit risk models
• Work closely with colleagues across the group to deliver projects and the change agenda.

Skills and Experience Required (or desired):

• University degree in technical field (eg. mathematics, physics, statistics)
• Relevant experience of credit risk/analytics roles
• Knowledge of first and second charge mortgages
• Hands on strong knowledge of analysis software languages – SAS
• Highly proficient using Excel and other analysis tools
• Statistical background to produce reporting and models
• Excellent communication skills and ability to convey complex ideas/insights to non-technical members of the team
• Ability to work in an extremely fast paced start-up environment
• Excellent verbal and written communication skills
• Extremely self-motivated / Operate independently