At a Glance
- Tasks: Lead financial crime analytics, identify threats, and design risk management strategies.
- Company: Join Zopa, a top UK workplace known for innovation and collaboration.
- Benefits: Enjoy flexible working, hybrid options, and the chance to work abroad for 120 days a year!
- Why this job: Make a real impact in risk management while collaborating with passionate colleagues.
- Qualifications: Experience in data analysis, risk environments, and programming languages like SQL or Python required.
- Other info: Diversity is key at Zopa; we celebrate unique backgrounds and perspectives.
The predicted salary is between 43200 - 72000 £ per year.
We’re incredibly proud of our achievements and none of it would be possible without the amazing team here. It’s not just industry awards we’re winning, we’ve also been named in the top three UK’s Most Loved Workplaces.
If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you’ll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalife
This role sits within the 1st Line of Defence (1LOD) Risk Function who are responsible for managing risks across the organisation, working closely with cross-business stakeholders and adopting the bank’s risk framework to embed effective and efficient risk management into everything we do.
The Financial Crime risk team specifically focus on managing money laundering, sanctions and bribery & corruption risks faced by the bank.
Collaboration is in our Zopa DNA which means you’ll be part of a cross-functional squad of talented and passionate colleagues working together from concept through to delivery. You’ll need to work proactively and collaboratively from the ground up, engaging stakeholders, getting their buy in and most importantly making sure we’re building the right thing
A day in the life:
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Lead the Financial Crime Analytics capability for all Zopa products, using bank data to identify emerging threats and undertaking complex investigations
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Help design our approach to customer risk rating and transaction monitoring using data to support this approach
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Be a subject matter expert to support transaction monitoring, using knowledge of risk and data to ensure our rules are correctly calibrated to manage the risks faced by the bank
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Assist with building a more sustainable MI process using their data skillset to extract relevant data points from bank sources
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Look for new ways to manage risk including use of GenAi and machine learning.
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Skilled in technical data analysis extracting data from a range of sources.
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Proven technical ability in generating insight using technology and analytics over datasets and communicating this insight in a variety of forms such as presentations, formal reports and data visualization
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Experience of working in a risk environment with a strong awareness of the regulatory environment that a bank has to operate in
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Proactive problem solver who enjoys finding solutions to business challenges working with a wide range of business stakeholders
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Ability to communicate complex concepts to senior stakeholders in a simple way
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Enjoys coming up with new approaches and processes rather than following established existing steps.
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Recent use of SQL or other software / programming languages (e.g. SAS, VBA, R, Python) to create and analyse datasets and data visualisation tools (
, Power BI, Excel) * Financial Crime related qualification or significant industry experience.
Bonus Points for:
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Experience of working in a Fintech environment
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Direct financial crime experience particularly with transaction monitoring and customer risk assessment
LI-LK1
Flexible working? Yes please!
At Zopa we value flexible ways of working. We understand the benefits of face-to-face collaboration and the importance of a good work-life balance. Our teams work in a hybrid manner, from our vibrant UK offices and the comfort of their own homes, at a frequency that suits the team and the work they do.
Not only that – you’ll also have the option of working from abroad for up to 120 days a year!* But no matter where you are, we’ll make sure you’ve got everything you need to thrive, both in your work and home life, from day one.
*Subject to having the right to work in the country of choice
Diversity Statement
Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments.
Financial Crime Data Manager employer: Zopa Ltd
Contact Detail:
Zopa Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Crime Data Manager
✨Tip Number 1
Familiarize yourself with the latest trends in financial crime and risk management. Understanding emerging threats and regulatory changes will not only help you in interviews but also demonstrate your proactive approach to the role.
✨Tip Number 2
Showcase your technical skills by discussing specific projects where you've used SQL or other programming languages for data analysis. Be ready to explain how you generated insights and communicated them effectively to stakeholders.
✨Tip Number 3
Highlight any experience you have in a fintech environment or with transaction monitoring. This will set you apart as a candidate who understands the unique challenges and opportunities within the industry.
✨Tip Number 4
Prepare to discuss your collaborative experiences. Zopa values teamwork, so be ready to share examples of how you've worked with cross-functional teams to solve complex problems and drive results.
We think you need these skills to ace Financial Crime Data Manager
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Financial Crime Data Manager position. Understand the key responsibilities and required skills, especially around data analysis, risk management, and communication with stakeholders.
Tailor Your CV: Customize your CV to highlight relevant experience in financial crime, data analysis, and risk management. Use specific examples that demonstrate your ability to solve problems and communicate complex concepts effectively.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for the role and the company. Mention how your background aligns with Zopa's values and the specific challenges of the Financial Crime team. Be sure to include your enthusiasm for innovative approaches and collaboration.
Showcase Technical Skills: In your application, emphasize your technical skills, particularly in SQL or other programming languages. Provide examples of how you've used these skills in previous roles to generate insights and support decision-making in a risk environment.
How to prepare for a job interview at Zopa Ltd
✨Show Your Analytical Skills
As a Financial Crime Data Manager, you'll need to demonstrate your technical data analysis skills. Be prepared to discuss specific examples of how you've extracted and analyzed data from various sources, and how this has helped in identifying risks or threats.
✨Communicate Clearly
You'll be required to communicate complex concepts to senior stakeholders. Practice simplifying intricate ideas into clear, concise language. Consider preparing a few examples where you've successfully communicated technical information to non-technical audiences.
✨Emphasize Collaboration
Zopa values collaboration highly. Share experiences where you've worked in cross-functional teams, highlighting how you engaged stakeholders and built consensus around risk management strategies.
✨Be Innovative
The role requires a proactive problem solver who enjoys finding new approaches. Think about instances where you've introduced innovative solutions or processes, especially in risk management or data analysis, and be ready to discuss these during the interview.