Senior Credit Risk Analyst
Surrey
Circa £48,000

Own analysis of portfolio performance and delivery of Credit Risk forecasting using SAS. It's a varied role where you will be performing analysis to monitor, forecast and optimise portfolio performance and minimise Risk. You'll monitor portfolio performance over time and provide timely analysis and commentary onany movements and implement strategic ideas ti improve Risk performance.

THE COMPANY

A relaxed, collaborative environment with a strong brand name. The team is passionate about their product offering and are looking for someone with an interest in lending, financial services or the auto industry who can buy into the business. Industry leading bonus on top of salary is offered.

THE ROLE

• Monitor portfolio performance and Credit Risk using analytical techniques to optimise the performance of the book
• Optimise new and existing customer credit decisions, helping shape strategies that add value to the business and their customers (it's very customer focused)
• Analyse large data sets using SAS, SQL to find trends, forecast performance and provide Credit Risk insights
• Investigate and make recommendations on the development of strategies, scorecards and policies
• Build relationships with key stakeholders and adopt a collaborative way of working across functions

YOUR SKILLS AND EXPERIENCE

• Experience working in an analytical role in Credit Risk or a related function
• Skilled in the use of SAS, SQL or similar tools (you'll be using these daily)
• Experience deriving insights from data and driving the development of business strategies e.g Credit Risk, Fraud, Marketing, Digital etc
• Educated to degree level (as a minimum) in a numerate subject

BENEFITS

• Circa £48,000
• 20% bonus
• Work in a highly motivated, highly analytical team balanced in an informal environment

KEYWORDS

SAS, SQL, Credit Risk, Loans, Portfolio Analytics, Portfolio Management, Account Management, Existing Customers, Acquisitions, Cross-Sell, Data, Insights, Analyst, Risk Analysis, Scorecards, Credit Risk Models, Forecasting