Quantitative IRRBB & Treasury Analytics Analyst

Starling Bank; London; On-site; NOK 887,000 - 1,204,000; Full time

Benefits offered by this job

25 days holiday

Birthday day off

Pension scheme: salary sacrifice

Life insurance

Private Medical Insurance

Perkbox membership

Volunteer time (16 hours)

Cycle to Work

Gym partnerships (Salary Sacrificed)

Job summary

Starling Bank is seeking an Analyst to join the IRRBB team within Treasury. The role focuses on behavioural modelling of the Bank’s evolving balance sheet, combining Finance, Risk and Data Science. You will help build, implement and maintain advanced models used across the Bank.

You will work with Python, SQL and modern data tools to deliver rigorous risk insights, supporting hedging strategies and cross-team collaborations.

Qualifications

• Experience with economic, financial risk or behavioural modelling.
• Graduate level education with a numerical degree (e.g. Maths, Physics, Economics).
• Strong data handling and manipulation skills.
• Excellent programming knowledge in Python and SQL.
• Experience with developer tools such as GitHub and platforms such as GCP, AWS.

Responsibilities

• Develop, test and document behavioural models and related processes within the Bank.
• Monitor model performance and customer behaviour.
• Expand our internal quantitative Python library tools.
• Collaborate with IRRBB colleagues on behavioural assumption changes.
• Generate insightful analysis on Bank products and customer segments.
• Run and maintain Interest Rate Risk models in line with policy.
• Support the wider Finance team with rate risk hedging strategies.
• Provide quantitative modelling support across Treasury.

Skills

Python

SQL

GitHub

GCP

AWS

Statistical modelling

Education

Graduate degree in Maths/Physics/Economics

Tools

GitHub

GCP

AWS

Job description

Starling Bank is seeking an Analyst to join the IRRBB team within Treasury. The role focuses on behavioural modelling of the Bank’s evolving balance sheet, combining Finance, Risk and Data Science. You will help build, implement and maintain advanced models used across the Bank.

You will work with Python, SQL and modern data tools to deliver rigorous risk insights, supporting hedging strategies and cross-team collaborations.