Senior Credit Risk Analyst (SAS) -£35,000 - £45,000 depending upon experience Bracknell - 10 months ftc likely to extend due to expansion A highly successful Financial Services / Real Estate Company based in Bracknell are actively looking for a Senior Credit Risk Analyst with strong skills in SAS and the ability to build reports and interpret Data to join their friendly team. Credit Risk SAS Key Accountabilities:
• Deliver scalable analytics utilising large historical datasets and credit reference data to deliver lending strategies, product and pricing initiatives
• Assist in the production of credit committee deliverables and monthly reporting cycles
• Contribute to the enhancement to the approach to forecasting provisions under IFRS 9
• Documentation and presentation of results, including technical specifications
• Assist in ad-hoc production of loss forecasting and credit and behavioural assumptions underlying portfolio valuations and securitisations.
• Help manage the relationship with third-party data providers (Credit Reference Agencies, Automated Valuation Models, etc)
• Work collaboratively across the organisation to identify and develop new lending opportunities Essential Competencies Credit Risk SAS:
• Strong analytical and problem-solving skills
• Broad understanding of the loan market and product lifecycle
• Delivery focused individual with the ability to contribute "hands-on" to strategic initiatives
• 'Can Do' collaborative team member with the ability to manage competing priorities
• Good written and verbal communication skills, with the ability to interact with senior, non-technical stakeholders
• A natural ability to build and maintain key relationships and manage stakeholders effectively Credit Risk SAS Essential Skills/Qualifications:
• Advanced programming skills in SAS
• 3 years in Financial services or Real Estate experience within credit risk or similar function
• Ability to efficiently structure and analyse large, disparate and complex sets of data
• Strong numeracy. A degree or equivalent in a numerate discipline (for example Maths, Statistics, Sciences, Engineering, Operational Research and Physics) is preferable
• Good skills in SQL or R would be an advantage
• Experience in the development of cash flow models for calculating risk adjusted returns
• Knowledge of PD, EAD and LGD Models specifically for mortgages is a distinct advantage How to apply for Credit Risk Analyst - SAS Please apply by sending your CV to the following links below