Credit Risk Analytics Specialist

8192 Barclays Bank UK PLC

Glasgow

On-site

GBP 40,000 - 55,000

Full time

13 days ago

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Job summary

Barclays Bank UK PLC in Glasgow is seeking a Credit Risk Associate Analyst to manage and optimise the bank's credit risk exposure. You will monitor, analyse, and report on the creditworthiness of the lending portfolio, covering borrowers, sectors, and regions, and you will develop models and tools to measure potential losses.

The role requires SAS/SQL experience, data literacy, and the ability to translate data into actionable insights.

Qualifications

  • Experience using SAS or a similar coding environment / language, such as R and Python, beginner level of coding.
  • Good data literacy and ability to interpret MI reports as a means to contextualise findings.
  • Stakeholder management skills and strong communication skills to manage internal and external stakeholders.
  • Proficiency with Excel, intermediate ability is necessary.
  • Ability to translate data into actionable business insights.
  • Ability to plan and schedule workload according to deadlines.

Responsibilities

  • Monitoring the financial performance and risk profile of the entire lending portfolio.
  • Analysis of credit trends, identify early warning signs of potential borrowers' issues.
  • Development and utilisation of quantitative models and risk forecasting tools.
  • Performance of portfolio stress testing exercises.
  • Definition and setting of portfolio, segment and customer risk appetite, policy and limits.
  • Overseeing first line execution within these parameters.

Skills

SAS
SQL
Python
Data literacy
Stakeholder management
Excel
Communication

Job description

Barclays Bank UK PLC in Glasgow is seeking a Credit Risk Associate Analyst to manage and optimise the bank's credit risk exposure. You will monitor, analyse, and report on the creditworthiness of the lending portfolio, covering borrowers, sectors, and regions, and you will develop models and tools to measure potential losses.

The role requires SAS/SQL experience, data literacy, and the ability to translate data into actionable insights.

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