Credit Risk Analyst - Hybrid (London) IFRS9 Analytics

Castle Trust Group; Greater London; Hybrid; GBP 40,000 - 55,000; Full time

Benefits offered by this job

Competitive salary

Performance bonus

Generous pension

Life Assurance

25 days’ holiday

Volunteer day

Private healthcare

EAP

Gym discounts

Season ticket travel loans

Inclusive culture

Job summary

Castle Trust Bank in London is seeking a Credit Risk Analyst to join the Risk function. The role offers a hybrid setup (3 days in office, 2 days at home) and exposure to IFRS 9 model monitoring, portfolio analytics and governance processes.

You will work with Databricks, Python and SQL to investigate data, develop insights and produce clear outputs for risk committees and senior stakeholders. A quantitative degree and strong analytical skills are essential.

Qualifications

• Degree in a quantitative/analytical field (2:1 or higher).
• Experience analysing data and drawing clear conclusions from findings.
• Strong numerical and problem-solving skills.
• Experience with Python/SQL or similar analytical languages.

Responsibilities

• Analyse portfolio and model data to identify trends and risk.
• Support IFRS 9 model monitoring and enhancements.
• Gather, validate, and reconcile data from multiple sources.
• Explore behavioral shifts behind performance changes.
• Support development and testing of new model components.
• Use Python/SQL to investigate data and implement changes.
• Produce reports and presentations for technical and non-technical audiences.
• Maintain documentation of methodologies and results.
• Prepare materials for risk and model governance committees.
• Identify opportunities to automate monitoring and reporting.
• Support audit and governance activities when required.

Skills

Numerical analysis

Python

SQL

Data analysis

Attention to detail

Education

Bachelor's degree in a quantitative field

Tools

Databricks

Job description

Castle Trust Bank in London is seeking a Credit Risk Analyst to join the Risk function. The role offers a hybrid setup (3 days in office, 2 days at home) and exposure to IFRS 9 model monitoring, portfolio analytics and governance processes.

You will work with Databricks, Python and SQL to investigate data, develop insights and produce clear outputs for risk committees and senior stakeholders. A quantitative degree and strong analytical skills are essential.