At a Glance
- Tasks: Lead product analytics to combat financial crime and enhance customer experience.
- Company: Join Xcede, a dynamic fintech company focused on innovation.
- Benefits: Flexible hybrid/remote work, competitive contract pay, and impactful projects.
- Other info: Exciting 6–12 month contract with opportunities for growth.
- Why this job: Make a real difference in fraud prevention while developing your skills.
- Qualifications: Experience in product analytics and data science is essential.
The predicted salary is between 63000 - 77000 £ per year.
Xcede is seeking a Lead Product Analyst / Product Data Scientist for a fintech fraud analytics focus. Hybrid or Remote, 6–12 month contract with ASAP start.
You'll partner with product, data science, and engineering to identify, size, and prioritise opportunities to detect and mitigate financial crime while minimising customer friction.
You will build models, pipelines and dashboards, enabling data-driven decisions and self-serve insights for stakeholders.
Hybrid/Remote Product Analytics Lead - FinCrime & Fraud employer: Xcede
As a Mobility Engineer/Consultant with us, you'll thrive in a dynamic remote work environment that champions innovation and collaboration. We offer competitive benefits, a strong focus on employee development, and the opportunity to work on cutting-edge enterprise solutions that make a real impact. Join our team and be part of a culture that values your expertise and encourages professional growth while ensuring you have the tools and support needed to excel in your role.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid/Remote Product Analytics Lead - FinCrime & Fraud
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Xcede before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Xcede.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Xcede.
We think you need these skills to ace Hybrid/Remote Product Analytics Lead - FinCrime & Fraud
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Xcede, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Xcede, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Xcede’s attention and show the tangible impact of your work.
How to prepare for a job interview at Xcede
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Xcede.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Xcede.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Xcede.
