Treasury IRRBB Analyst: Quantitative Analytics

Starling; Greater London; On-site; GBP 65,000 - 95,000; Full time

Benefits offered by this job

25 days holiday

Private Medical Insurance

Life insurance

Pension scheme

Cycle to Work

Gym partnership

Perkbox membership

Job summary

Starling Bank is seeking a Quantitative Analytics professional to join the IRRBB team in Treasury, focusing on behavioural modelling of the Bank’s evolving balance sheet. You will implement, test, and maintain models and contribute to the Bank’s quantitative Python toolset.

The role requires strong Python/SQL skills, experience in financial risk modelling, and the ability to present complex ideas to diverse audiences.

Qualifications

• Experience with economic, financial risk and/or behavioural modelling.
• Graduate level numerate degree (Maths, Physics, Economics).
• Strong data handling and programming skills.
• Excellent knowledge of Python and SQL.
• Experience with GitHub and cloud platforms (GCP/AWS).

Responsibilities

• Developing, testing, and documenting behavioural models and related processes within the Bank.
• Monitoring model performance and customer behaviour.
• Developing and expanding our internal quantitative Python library tools.
• Collaborating with IRRBB colleagues on behavioural assumption changes.
• Generating insightful analysis on Bank products and customer segments.
• Running and maintaining Interest Rate Risk models in accordance with Bank policy.
• Supporting the wider Finance team with interest rate risk hedging strategies.
• Providing quantitative modelling support throughout the Treasury team.

Skills

Python

SQL

Machine Learning

Data manipulation

GitHub

GCP

AWS

Numerical thinking

Problem solving

Presentation

Education

Graduate numerical degree (Maths/Physics/Economics)

Tools

GitHub

GCP

AWS

Job description

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.

This role sits in the Quantitative Analytics pillar of the IRRBB team within Treasury. We are a small but growing team that focuses on behavioural modelling of the Bank’s evolving balance sheet. We are at the intersection of Finance, Risk and Data Science, combining aspects of all three disciplines in our work and acting as technical experts with deep financial and programming skills.

The IRRBB team is part of Treasury, where we manage liquidity, funding, interest rate risk and structural risks using cash, investment securities, interest rate derivatives and foreign exchange. The Analyst will primarily focus on ALM but will also have the opportunity to closely collaborate with other Treasury areas through their modelling work.

This is a permanent role in the team to continue building capacity, and you will be a key driver in the development, implementation, and maintenance of the behavioural models used through the Bank.

Key Responsibilities

• Developing, testing, and documenting behavioural models and related processes within the Bank
• Monitoring model performance and customer behaviour
• Developing and expanding our internal quantitative Python library tools
• Collaborating with IRRBB colleagues on behavioural assumption changes
• Generating insightful analysis on Bank products and customer segments
• Running and maintaining Interest Rate Risk models in accordance with Bank policy
• Supporting the wider Finance team with interest rate risk hedging strategies
• Providing quantitative modelling support throughout the Treasury team

Requirements

• Experience with economic, financial risk and/or behavioural modelling
• Knowledge of Treasury functionality in highly preferred
• Graduate level education with a numerical degree (e.g. Maths, Physics, Economics)
• Strong technical skills of data handling and manipulation
• Excellent programming knowledge, particularly in Python and SQL
• The desire to use both traditional statistical modelling and applied machine learning
• A problem solver with strong quantitative skills
• The ability to distil complex ideas for presentation to a broad audience
• Experience with developer tools such as GitHub and platforms such as GCP, AWS

Benefits

• 25 days holiday (plus take your public holiday allowance whenever works best for you)
• An extra day’s holiday for your birthday
• Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
• 16 hours paid volunteering time a year
Salary sacrifice, company enhanced pension scheme
• Life insurance at 4x your salary
• Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr & M rs Smith and Peloton
• Generous family-friendly policies
• Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
• Access to initiatives like Cycle to Work and Salary Sacrificed Gym partnerships

About Us

You may be put off applying for a role because you don't tick every box. Forget that! While we can’t accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren’t sure if you're 100% there yet, get in touch anyway.

We’re on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems.

Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.