[All remote jobs](https://jobicy.com/jobs.md)[![Monzo logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/5b4c0ec3-221.jpg)](https://jobicy.com/company/monzo.md)[Monzo](https://jobicy.com/company/monzo.md) # Data Science Manager, Financial Crime Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/monzo.md)ShareRemote from[UK](https://jobicy.com/job-region/uk.md)SalaryGBP 100k–130k / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceDirectorPublished17 Oct 2026Apply before16 Nov 2026Listing views28Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Monzo is hiring a Data Science Manager to lead a financial crime data team spanning data scientists and analysts. The role combines people leadership, data strategy, hands-on analytical judgment, and cross-functional partnership with Product, Risk, Engineering, and financial crime control owners. The manager will improve detection, prevention, and mitigation of financial crime while developing team capability and shaping product decisions. Candidates need substantial data leadership experience, stakeholder management skills, and practical knowledge of Python, SQL, experimentation, causal inference, business intelligence, and machine learning. The position is London-based or remote within the UK, with occasional London meetings. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior leadership role in a regulated, adversarial domain where data decisions directly affect fraud prevention, customer outcomes, and regulatory risk. It requires both strategic ownership and the ability to guide technical choices across a growing cross-functional team. ## Salary analysis Estimated compensation compared with the broader UK market for similar roles. Estimated job median (per year)Market rate£115,000UK market range (per year)£100k–£140k0£154k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a £100,000–£130,000 range; the annual period is inferred from the senior full-time UK role and the compensation magnitude because the posting does not explicitly state a cadence. The midpoint is £115,000 per year. A reasonable estimated UK market range for a data science manager specializing in financial crime is £100,000–£140,000 per year, depending on depth of people leadership, regulated-finance expertise, and technical scope. ## Core skills Skills and capabilities most closely associated with this opportunity. [Data Science Leadership](https://jobicy.com/jobs?search_keywords=Data%20Science%20Leadership.md)[Financial Crime Analytics](https://jobicy.com/jobs?search_keywords=Financial%20Crime%20Analytics.md)[Fraud Detection](https://jobicy.com/jobs?search_keywords=Fraud%20Detection.md)[People Management](https://jobicy.com/jobs?search_keywords=People%20Management.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Machine Learning](https://jobicy.com/jobs?search_keywords=Machine%20Learning.md)[Experimentation](https://jobicy.com/jobs?search_keywords=Experimentation.md)[Causal Inference](https://jobicy.com/jobs?search_keywords=Causal%20Inference.md)[Business Intelligence](https://jobicy.com/jobs?search_keywords=Business%20Intelligence.md)[Stakeholder Management](https://jobicy.com/jobs?search_keywords=Stakeholder%20Management.md)[Data Strategy](https://jobicy.com/jobs?search_keywords=Data%20Strategy.md)[Risk Management](https://jobicy.com/jobs?search_keywords=Risk%20Management.md)[Looker](https://jobicy.com/jobs?search_keywords=Looker.md) Sample interview questionsHow would you set a data strategy for a financial crime product area?I would begin by aligning on the highest-risk customer and regulatory outcomes, then define measurable objectives such as detection quality, false-positive rate, investigation efficiency, and loss prevention. I would assess data availability and quality, prioritize the most valuable analytical and product initiatives, and establish monitoring so models and controls can be adjusted as threats evolve. Describe how you would balance fraud detection performance with customer friction. I would frame the problem as an optimization across financial-crime risk, customer experience, operational capacity, and regulatory obligations. I would use segmented performance analysis, controlled experiments where appropriate, and clear decision thresholds to reduce unnecessary interventions while maintaining robust detection and escalation for higher-risk activity. How do you develop a team of data scientists and analysts with different levels of experience? I set clear expectations for technical quality, business impact, and collaboration, then create individual development plans tied to meaningful ownership opportunities. Regular coaching, peer review, structured feedback, and exposure to senior stakeholders help team members grow while maintaining high standards. When would you choose causal inference instead of predictive machine learning? I would use predictive models when the goal is to score risk or forecast an outcome for operational decisions. I would use causal inference when deciding whether an intervention, policy, or product change actually caused an improvement, such as whether a new verification step reduced fraudulent activity without disproportionate customer harm. How would you communicate a complex financial crime analysis to executive stakeholders? I would lead with the decision required, the scale of risk or opportunity, and the recommended action. I would present a concise set of metrics, assumptions, trade-offs, and confidence levels, while keeping technical detail available in an appendix or follow-up discussion for deeper review. Opportunity details ## About this role. 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as [personal](https://monzo.com/current-account/personal) and [business](https://monzo.com/business-banking) bank accounts, we offer [joint accounts](https://monzo.com/current-account/joint-account), [accounts for 16-17 year olds](https://monzo.com/current-account/16-17), a [free kids account](https://monzo.com/current-account/under-16s) and [credit cards](https://monzo.com/flex) in the UK, with more exciting things to come beyond. Our UK customers can also [save](https://monzo.com/savings), [invest](https://monzo.com/investments)and [combine their pensions](https://monzo.com/pensions) with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products – we want to solve problems and change lives through Monzo ❤️ ### 📍London or UK remote | 💰 £100,000 to £130,000 + Incentive Awards tied to your performance +[Benefits](https://monzo.com/careers/#benefits) |[Technology](https://monzo.com/blog/technology) –[Data](https://monzo.com/blog/data) About us: We’re here to make money work for everyone and we’re doing things differently. For too long, banking has been obtuse, complex and opaque. We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves. We’re focused on solving problems, rather than selling financial products. We want to make the world a better place and change people’s lives through Monzo. About our Financial Crime Data Team: As we continue to scale, we’re looking for a Data Science Manager to lead one of our key product areas for Financial Crime. As a Data science manager, you’ll be working in an ever changing environment work in collaboration with Product, Risk and Engineering peers and champion the data strategy and lead a cross-functional team. You’ll help us build and improve these for now and for our future roadmap. We’re looking for a leader with hands-on experience, data driven strategic leader who can bring fresh thinking and new ways to inspire the team and our customers What you’ll be working on: You’ll work closely with the Product Managers, engineers, and Financial Crime control owners in an agile product environment. You’ll champion the use of data, bring ideas to life through a rigorous analytical approach. Your work will focus on improving our efforts in financial crime detection, prevention and mitigation, ensuring we stay ahead of emerging threats and regulatory requirements. You’ll help your team grow, hiring new team members, supporting their personal development. You will manage a team with Data Scientists and Data Analysts, working together with Analytics Engineers to drive product innovation and you’ll get to see the impact of all your work in the product changes we make. We have a strong culture of data-driven decision making across the whole company. And we’re great believers in powerful, real-time analytics and empowerment of the wider business. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data folk the head space to focus on more impactful business questions and analyses. Your day-to-day * Be a key leader in building a discipline of exceptional data scientists and analysts working on making Monzo world class at detecting and fighting financial crime activity * Help hire, develop and retain talented Data people * Generate insights that can change the direction of our financial crime strategy * Bring data leadership and rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life * Liaise with risk, product and engineering managers to keep making sure we collect the right data to produce relevant business insights You should apply if: * What we’re doing here at Monzo excites you! * You must have at least 4 years of experience as a Data Science Manager- at least 2 of them managing a data team larger than 4 people * You are a strong strategic data leader and love to drive decisions * Strong experience with working with executive or C-level peers, managing stakeholders across levels of seniorities and disciplines * You know what it takes to manage top tier Data talent * You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business * You’re familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know when to pick the right tool, and can help others do the same * Experience in financial crime, fraud detection, or similar areas (Trust & Safety, Integrity, Security) is a plus. The Interview Process: Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! * 30 minute recruiter call * 45 minute call with hiring manager * 3 x 1-hour video calls with various team members Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com What’s in it for you: ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we’re open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits[here](https://monzo.com/careers/) #LI-NB2 #LI-Remote Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our [blog](https://monzo.com/blog/diversity-and-inclusion), 2026 [Diversity and Inclusion Report](https://monzo.com/blog/our-2026-diversity-and-inclusion-report) and 2025 [Gender Pay Gap Report.](https://monzo.com/blog/gender-pay-gap-report-2025) 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. If you have a preferred name, please use it to apply. We don’t need full or birth names at application stage 😊 Show more [Apply now >](https://jobicy.com/jobs/155585-data-science-manager-financial-crime.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. Keep exploring ## Related remote jobs. * ![Monzo logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/5b4c0ec3-221.jpg) Monzo Oct 17 New ### [Data Director, EU](https://jobicy.com/jobs/155581-data-director-eu.md) 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. 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