Hybrid opportunity at
ZopaSenior Analyst (Fraud & Financial Crime)
Zopa is a digital bank founded in 2005 that initially launched peer-to-peer lending before introducing Zopa Bank in 2020. Recognized as one of the UK's top…
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About This Role
Zopa is a digital bank founded in 2005 that initially launched peer-to-peer lending before introducing Zopa Bank in 2020. Recognized as one of the UK's top three most loved workplaces, the organization is currently seeking a Senior Analyst for its Fraud & Financial Crime Analytics team. This hybrid position is based in London, requiring attendance at the office two to three days a week. In this hands-on analytical role, the…
Job Description
Zopa is a digital bank founded in 2005 that initially launched peer-to-peer lending before introducing Zopa Bank in 2020. Recognized as one of the UK's top three most loved workplaces, the organization is currently seeking a Senior Analyst for its Fraud & Financial Crime Analytics team. This hybrid position is based in London, requiring attendance at the office two to three days a week.
In this hands-on analytical role, the selected professional will safeguard customers and the bank by owning the creation, deployment, and ongoing optimization of security controls and rules. The initial scope concentrates on card transactions, account takeovers, and card tokens. The successful candidate will work within a product squad alongside specialists in Product, Data Science, Engineering, Operations, and Fraud Risk.
This opportunity is well-suited for individuals with strong analytical capabilities and robust SQL skills who are eager to solve complex problems, investigate changing risk patterns, and build specialized expertise. Prior professional experience in fraud or financial crime is not mandatory.
Responsibilities
- Design, build, test, optimize, and oversee rules and controls to detect and stop financial crime and fraud
- Investigate emerging risks by leveraging data to spot suspicious trends and recommend effective countermeasures
- Evaluate control performance by tracking false positives, losses, alert volumes, and detection rates
- Formulate and test hypotheses to balance detection efficacy with operational and customer impact
- Collaborate with Engineering, Product, and Data Science to explore the application of automation, AI, and novel data sources
- Assist in rolling out model-driven controls and migrating systems as platform architecture evolves
- Prioritize analytical opportunities alongside the product squad and share technical knowledge with team members
Requirements
- Advanced SQL capabilities and solid analytical experience handling large, complex datasets
- Familiarity with Python for analytical purposes, or the willingness and aptitude to learn it quickly
- Demonstrated ability to shepherd complex analytical issues from an initial question to a concrete recommendation or implemented solution
- Capacity to navigate open-ended problems and establish a structured analytical framework
- Track record of utilizing data to evaluate performance metrics and guide decision-making
- Comprehension of fundamental machine learning concepts like recall and precision, or prior exposure to assessing controls with them
- Ability to communicate data stories clearly to both technical and non-technical stakeholders
- Willingness to work collaboratively across multiple teams and varying levels of seniority
Qualifications
- Background in risk analytics, financial crime, fraud, or a comparable controls-oriented domain
- Experience analyzing customer behavior, payments, or card transactions
- Advanced background working with, evaluating, implementing, or monitoring machine learning models
- Prior use of AI tools like Claude for coding, analysis, or automation tasks
- Exposure to rule-based controls, experimentation, or decisioning systems
- Familiarity with data visualization software such as Tableau
- Experience working in fintech, financial services, or another fast-paced, product-driven environment
Core Skills
Benefits
- Option to work abroad for up to 120 days per year, subject to holding the right to work in the destination country
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location and remote work policy for this role?
This is a hybrid role based in the London office, requiring employees to work on-site two to three days a week. Additionally, employees have the option to work from abroad for up to 120 days per year, provided they have the legal right to work in that country.
Do I need previous experience in fraud or financial crime to apply?
No, prior professional experience in fraud or financial crime is not required. Zopa is looking for a strong analyst who enjoys problem-solving, possesses advanced SQL skills, and wants to build expertise in this domain.
What is the interview process like?
The hiring process consists of a 30-minute recruiter screening, a 1-hour SQL technical assessment, a 1-hour analytics case study, and a final 1-hour in-office interview discussing collaboration, values, and decision-making.
What salary does this position offer?
The provided job posting does not specify a salary for this role.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.