Head of Risk Analytics SQL/SAS

Recruiter
Sanderson
Location
Bracknell, Berkshire
Salary
£700 per day
Posted
15 May 2019
Closes
18 May 2019
Ref
1119854184
Position/Level
Professional / Specialist
Responsibilities
Analyst
Contract Type
Permanent
Language
English
An exciting intermediary only lender is looking for a Head of Credit Risk Analytics to form part of the Risk & Compliance management team. This relatively new name in the market are very experienced within mortgages in all areas of their business. The Head of Credit Risk Analytics will lead on all matters relating to credit risk, owning the company's Credit Risk Management Framework. You will support the business by delivering its objectives and strategic plan in a sustainable and compliant matter.

As the Head of Credit Risk Analytics, you will lead and develop the second line Credit Risk team, ensuring that the company has the appropriate balance of credit skills to support business objectives. You will ensure that the business fully understands and implements the 3 lines of defence model in relation to credit risk.

KEY RESPONSIBILITIES:
  • Oversee the development and maintenance of an appropriate credit risk framework, including policies, to ensure credit risk are identified and appropriately managed
  • Oversee the development and maintenance of the company's credit risk and pricing models, including the appropriate use of stress testing.
  • Use risk analytics tools to analyse the portfolio, identifying trends, and using the output to inform future business decisions including product design
  • Ensure the company's IFRS9 and EIR models remain fit for purpose and continue to be developed in line with established practices.
  • Deliver appropriate, accurate credit related management information to the business, risk committees and board in a timely manner

KEY SKILLS/EXPERIENCE:
  • Previous experience of managing a risk analytics team, ideally within a residential and buy to let mortgage lending environment
  • Proven experience of managing IFRS9 & EIR models
  • Strong statistical analysis skills and competence in using SAS, SQL etc.

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