Credit Risk Analyst

---

Job description

As a Barclays Credit Risk Analyst you will join the Credit Strategy Analytics team which shapes UK cards strategy, with a portfolio in excess of £16bn and more than a million new applicants each year. This is a great opportunity to showcase your skillset as you help analyse credit risk across the portfolio, understanding the trends in risk, customer behaviors and the reasoning behind them. It's a great time to join our expanding team.

Barclays is one of the world's largest and most respected financial institutions, with 329 years of success, quality and innovation behind us. We offer careers that provide endless opportunity - helping millions of individuals and businesses thrive, and creating financial and digital solutions that the world now takes for granted.

What will you be doing?
• Using insight to find ways to optimise our Existing Customer Management programmes and customer treatment, to improve our portfolio's risk profile and our returns
• Investigating our exposure to different kinds of credit risk, and our resilience in times of market stress, and proposing frameworks and/ or activities to manage these
• Helping develop analytical ways to identify, understand, and manage credit risk on our portfolio
• Formulating policy and strategy for the UK card portfolio - both in setting and reviewing risk "guardrails" and "decision frameworks" and directly proposing changes to strategy
• Understanding and engaging with our customers' needs
• Collaborating with change management, commercial, financial and operational teams to make decisions that are best for both our customers and our company

What we're looking for:
• Experience working with databases (e.g. via SQL or SAS) and using SAS for data analysis and mining tools on large datasets
• Effectivity in using Excel (e.g. familiarity with most of the following: pivot tables, conditional formatting, inbuilt function, array formulae)
• Solid grasp of statistical techniques
• Ability to identify key numerical concepts relating to consumer lending, formulating them into simultaneous equations and then solving them

Skills that will help you in the role:
• Effectivity in communicating within your peer-group and upwards (e.g. summarizing the results of your analysis succinctly to senior stakeholders and peers)
• Advanced mathematical and statistical skills; familiarity with neural network models, "deep learning", stochastic models, tree networks, etc.
• Being enthusiastic and effective; turning your insight into action
• Functional understanding of how a consumer lending product functions and how the key parts of its P&L might interact

Where will you be working?
In the heart of Canary Wharf, our headquarters at Churchill Place boasts onsite amenities such as; a gym, staff restaurant and deli bar, and is easily accessible by tube and bus links. With a population of around 5000 staff the atmosphere is second to none with a real buzz being created around the offices within.