Location
London

Hours
Full Time

Salary
Competitive salary offered

About the Role
Hello, we’re Starling. We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,500 people across our London, Southampton, Cardiff and Manchester offices. Starling Bank’s Treasury manages the bank’s rapidly growing balance sheet. We are responsible for managing liquidity, funding, Interest Rate Risk in the Banking Book (IRRBB) and structural risks using cash, investment securities, interest rate derivatives and foreign exchange. We are now looking for a driven IRRBB reporting analyst to join our expanding IRRBB team within the Treasury area of the Bank. This is a critical, hands-on role. You will be instrumental in building an accurate view of all the risks that guides our strategic decisions and keeps Starling safe and thriving.

Key Responsibilities:
- Producing internal and regulatory IRRBB reporting from the bank’s ALM system
- Ensuring all reporting output is complete, accurate, and timely
- Designing and running the processes for production of the bank’s risk reporting
- Supporting development of ETL code and processes upstream of the ALM system
- Building controls and checks on upstream data feeds and on ALM system outputs
- Investigating and resolving any errors within the reported figures
- Creating tools to perform calculations where reporting takes place outside of the system
- Developing tools to process system output prior to presentation to stakeholders

Experience
- Graduate level education preferable, ideally in a numerical degree
- Experience using an ALM system to generate IRRBB risk metrics highly desirable
- Intuitive understanding of IRRBB and how these risks are generated within a retail bank
- Intuitive understanding of credit ratings, asset-backed structures and how underlying collateral performance (e.g., prepayment, default, and recovery dynamics) drives risk
- Experience of data handling and manipulation within Excel, SQL, and ideally Python
- Experience in identifying and improving controls
- Experience in developing, and improving regular processes and tools
- Familiarity with GitHub and databases is also desirable

About you
- You are a problem solver with the ability and motivation to investigate issues independently
- You are outcome-focused with an ability to see the problems through to resolution
- You’re able to anticipate risks and issues early and act decisively to address them
- You’re able to manage competing priorities, whilst keeping sight of the big picture and driving towards an end goal
- You have good communication and documentation skills for both technical and non-technical audiences
- You have good attention to detail

Qualifications
Graduate level education preferable, ideally in a numerical degree