Overview
We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards, get‑paid‑early feature, and financial education on social media, we create magical moments for our customers.
Location: London office or remote in the UK, with occasional meetings in London.
Responsibilities
* Perform independent model validations of FinCrime/Fraud models using proportionate modelling techniques.
* Write clear and impactful model validation reports and present findings in relevant committees.
* Review any FinCrime/Fraud model changes and provide recommendations to first‑line teams to keep models fit for purpose.
* Build relationships with first‑line FinCrime/Fraud modelling teams and wider risk teams to support the embedding of the model risk framework.
* Support the team lead in reviewing ongoing model performance monitoring to ensure models operate within risk thresholds.
* Support the FinCrime/Fraud model development team when further action is required.
* Help validate models in other disciplines (Financial, Operational, Credit) to manage peak demand.
* Research and learn the latest modelling and validation techniques.
* Contribute to the Model Risk Oversight Committee to improve model risk management.
* Promote a strong risk culture and share best practice with the organization.
* Be highly motivated, self‑motivated, and thrive in a fast‑paced environment.
* Pay great attention to detail while keeping the big picture in mind.
* Communicate complex problems clearly and provide effective challenge while building respectful relationships.
* Keen to grow knowledge in business and technology.
Qualifications
* Experience in developing and/or validating models for Financial Crime, Fraud, Credit, Interest Rate, Liquidity, Regulatory Capital, Stress testing, or forecasting.
* In‑depth knowledge of statistical techniques for risk management.
* Experience managing a modelling project through its full lifecycle.
* Strong technical skills such as SQL or Python.
* Working knowledge of machine learning models: gradient‑boosted trees and similar.
* Understanding of customer risk assessment controls, transaction monitoring controls, and financial crime and fraud typologies (preferred).
* Experience in a transaction‑driven business or similar industry (preferred).
Benefits
* Salary range: £59,500 – £70,000 (depending on experience).
* Incentive awards tied to performance.
* Flexible working hours with focus on delivering results.
* £1,000 annual learning budget for books, training courses, and conferences.
* Other benefits include an award‑winning customer service culture and support for personal and professional growth.
Equal Opportunity
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, or disability status.
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