Senior Credit Risk Analyst

Venturi Ltd
Bracknell, UK
11 Oct 2019
13 Oct 2019
Job Role
Credit Manager
Contract Type
Level of qualification
Newly qualified, Qualified
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