Senior Manager - Credit Risk Analytics

Cantello Tayler Recruitment
From £80,000 to £90,000 per annum
14 Apr 2017
14 May 2017
Contract Type
Full Time
Job Title: Senior Manager - Credit Risk Analytics Reports to: Director of Credit Risk Direct Reports: 1
Role Purpose: This role will report directly to the Director of Credit Risk and will play a key role in the development and validation of products, cash and loss forecasting as well as identifying potential new opportunities. This is a key role in the successful development of the company as we commence lending within the Residential and Buy to let first and second charge mortgage market, utilising leading edge risk decisions tools and systems. Major Activities and Responsibilities: •Leading analytical projects within credit risk including cash and loss forecasting, IFRS9. •Development and validation of risk models to be used in client decisioning, including application scorecards. •Working closely with senior management to assist with formulation of departmental strategies • Representing Credit Risk Analytics to aid product selection lifecycle and in a project delivery capacity. • Designing, developing and validating risk models and processes, using SAS, Excel etc. •Working with treasury and securitisation teams to develop seamless integrated models •Conducting research on innovative risk modelling approaches and techniques •Understanding internal and external data, infrastructure and reporting requirements and coordinating these with effective analytical solutions. •Analysing MI to produce informative analytics to aid decision making. •Scaling next generation risk models for the planned market expansion. 
Skills and Experience Required (or desired): •A strong understanding of the Risk sector with extensive experience in developing & modelling risk products developing Basel/ICAAP models, loss and provisioning models, IFRS9 and cash forecasting. •Hands-on experience in building consumer/commercial scorecards for financial or other equivalent organization with a strong background in UK mortgage market •Strong mathematical and statistical background, knowledge of statistical modelling techniques • Experience of data mining skills •Excellent leadership skills, demonstrated through managerial experience in an analytical context •Confidence to make critical decisions, challenge and manage stakeholders’ expectations •Desire to take responsibility for delivering complex modelling solutions •A preference for a fast-paced, entrepreneurial environment