At a Glance
- Tasks: Lead data and analytics strategy to combat fraud and financial crime effectively.
- Company: Join a leading bank's Economic Crime Hub with a focus on innovation.
- Benefits: Competitive salary, career growth, and the chance to make a real impact.
- Other info: Dynamic environment with opportunities for innovation and collaboration.
- Why this job: Shape the future of data-led decision-making in a critical role.
- Qualifications: Experience in fraud analytics and strong leadership skills required.
The predicted salary is between 70000 - 90000 £ per year.
In this crucial role, you’ll define and deliver the data and analytics strategy that powers how we detect, prevent, and respond to fraud and financial crime at scale. Working across the Hub and wider bank, we’ll look to you to play a key role in shaping how we use data to become faster, smarter, and more effective in combating economic crime. This is an opportunity to lead a critical function within the Economic Crime Hub, turning data into intelligent decisions that protect our customers and the bank.
What you'll do:
- Set the strategic direction for data and analytics within the Economic Crime Hub, maximising the value of our data assets to drive real-world outcomes.
- Lead the end-to-end analytics lifecycle, from problem definition through to production decisioning and measurable impact.
- Lead a high-performing, multidisciplinary team to deliver decision-grade analytics and build a modern, scalable capability across data, analytics, and AI.
- Drive measurable reductions in fraud and financial crime risk through data-led decisioning and innovation.
- Work closely with strategy, technology, and operations teams to translate strategic priorities into scalable solutions embedded within business processes.
- Drive high-quality analytics delivery, maintain strong governance and regulatory compliance, and demonstrate customer, financial, and risk outcomes through clear performance metrics.
- Continuously strengthen the Hub's analytics capability through leading practices and external insights.
In addition, you’ll be:
- Defining and executing the Data, Analytics & Assurance (DAA) strategy aligned to Economic Crime Hub priorities.
- Driving measurable impact, reducing fraud and financial crime risk through data-led decisioning.
- Leading and developing a high-performing team across analytics, insight, and decision science.
- Building modern analytics capabilities, leveraging data, AI, and automation to scale decisioning.
- Accountable for delivering decision-grade analytics from concept to live deployment.
- Acting as a senior advisor to stakeholders, shaping how data is used to improve customer and business outcomes.
- Leading innovation in how data and analytics are used across the Hub, including AI-led decisioning.
The skills you'll need:
- Deep technical and domain expertise in Fraud and Financial Crime, combined with strong leadership and delivery capability.
- Strong leadership experience in data and analytics, ideally within financial services, fraud, or financial crime environments.
- A proven ability to deliver large-scale, business-critical analytics programmes with measurable outcomes.
- Ability to translate strategy into execution, aligning analytics delivery with business priorities.
- Strong stakeholder management skills, with the ability to influence at senior and executive levels.
- Experience leading teams to build and deploy production-grade analytics and decisioning solutions.
- A track record of building and developing high-performing teams.
- Experience embedding analytics into business processes, operating models, and decision frameworks.
- A deep understanding of data management, governance, and regulatory requirements.
- High levels of drive, ownership, and resilience, with the ability to operate at pace in a complex environment.
Analytics Lead in London employer: NatWest Group
Coutts & Co is an exceptional employer, offering a unique opportunity to join a leading Private Banking and Wealth Management firm during a pivotal growth phase. With a collaborative work culture that prioritises professional development, employees are encouraged to influence strategic decisions while receiving support from senior leaders. The role of Managing Legal Counsel not only provides a platform for impactful legal work but also fosters an environment where innovation and efficiency are valued, making it an ideal place for those seeking meaningful and rewarding employment.
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We think this is how you could land Analytics Lead in London
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We think you need these skills to ace Analytics Lead in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at NatWest Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at NatWest Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at NatWest Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at NatWest Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
