At a Glance
- Tasks: Lead data projects tackling financial crime and fraud with a hands-on approach.
- Company: Join a growing consultancy in the dynamic financial services sector.
- Benefits: Competitive salary, hybrid work, ongoing training, and clear career progression.
- Other info: Collaborative team environment with exposure to diverse clients and challenges.
- Why this job: Make a real impact on risk management while shaping data strategies.
- Qualifications: Strong background in data science and experience in financial services.
The predicted salary is between 95000 - 120000 £ per year.
Salary: £95,000 - £120,000 + bonus + benefits
Location: London (Hybrid - 2-3 days per week)
We are currently looking for a Head of Data Science to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime.
The Head of Data Science will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges.
The Opportunity
This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology.
You will be responsible for:
- Leading data-focused projects across financial crime and fraud
- Analysing large datasets to identify trends, risks, and opportunities
- Supporting the design and improvement of monitoring and detection processes
- Working closely with business and technical stakeholders to deliver solutions
- Translating data insights into clear, actionable recommendations
- Supporting junior team members and contributing to overall project delivery
- Contributing to broader initiatives across the business where relevant
What sets this apart:
- A mix of data science, analytics, and stakeholder engagement
- Exposure to a variety of clients and challenges
- Opportunity to influence how data is used to manage risk
- A pathway into a more strategic and advisory-led role
What's in it for you?
- Competitive salary (£95,000 - £120,000) + bonus
- Hybrid working
- Ongoing training and development
- Clear progression opportunities
- Exposure to a range of projects and clients
- Supportive and collaborative team environment
Skills and Experience
- Strong background in data, analytics, or data science
- Experience working within financial services, risk, or fraud-related domains
- Ability to work with stakeholders and communicate insights effectively
- Experience working with modern data tools and technologies
If you would like to be considered for the Head of Data Science Role, please apply below with your CV.
Head of Data Science - FinCrime employer: Data Idols
Join a dynamic and innovative consultancy in London, where the Head of Data Science role offers not only a competitive salary and hybrid working model but also a vibrant work culture that prioritises collaboration and professional growth. With ongoing training opportunities and exposure to diverse projects within the financial services sector, you will play a pivotal role in shaping data-driven solutions to combat financial crime while being supported by a high-performing team dedicated to your success.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science - FinCrime
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in financial crime or data science. Building relationships can open doors that a CV alone can't.
✨Showcase Your Skills
Don’t just talk about your experience; show it! Create a portfolio of projects that highlight your data science skills, especially those related to fraud and risk analysis. This will give you an edge when discussing your capabilities with potential employers.
✨Prepare for the Interview
Research the company and its challenges in financial crime. Be ready to discuss how your skills can help them tackle these issues. Practise common interview questions and prepare some insightful questions of your own to show your interest.
✨Apply Through Our Website
We encourage you to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Head of Data Science - FinCrime
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Head of Data Science. Highlight your experience in data science, analytics, and any relevant work in financial services or fraud-related domains. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Don’t just list your responsibilities; showcase specific projects you've led or contributed to that relate to financial crime and risk management. We love seeing real examples of how you've made an impact in previous roles!
Engage with Stakeholders:Since this role involves a lot of stakeholder engagement, mention any experiences where you've successfully communicated insights or collaborated with different teams. We’re keen on seeing how you can bridge the gap between data and business needs.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Data Idols
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially as they relate to financial crime and fraud. Be ready to discuss specific projects you've worked on, the tools you used, and the outcomes you achieved. This will show that you not only have the technical skills but also the practical experience needed for the role.
✨Engage with Stakeholders
Since this role involves a lot of stakeholder engagement, think about how you can demonstrate your communication skills. Prepare examples of how you've successfully collaborated with non-technical stakeholders in the past. This will highlight your ability to translate complex data insights into actionable recommendations.
✨Show Your Strategic Thinking
This position is not just about crunching numbers; it's about leading projects and influencing decisions. Be prepared to discuss how you've approached strategic challenges in previous roles. Think about how you can contribute to the broader initiatives of the business and be ready to share your vision for the future of data in financial crime.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with thoughtful questions about the company’s approach to data science and their current challenges in financial crime. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
