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- Tasks: Use advanced analytics to optimise FinCrime detection and support product launches.
- Company: Leading financial technology firm in London with a focus on innovation.
- Benefits: Private healthcare, extensive learning budgets, and great perks.
- Why this job: Make a real impact in fraud prevention while developing your skills.
- Qualifications: Experience in FinCrime detection, strong SQL and Python skills, and a relevant degree.
- Other info: Join a dynamic team with opportunities for growth and learning.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial technology firm in London is seeking a Risk Analyst/Data Scientist to join their Fraud & Financial Crime Team. This role will apply advanced analytics for optimizing FinCrime detection processes, collaborate with stakeholders, and support product launches while ensuring robust controls.
The ideal candidate will have experience with FinCrime detection rules, strong analytical skills in SQL and Python, and a degree in Economics or a STEM subject.
The position offers great perks including private healthcare and extensive learning budgets.
FinCrime Data Scientist — AI‐driven Risk & Fraud in London employer: Capital on Tap
Contact Detail:
Capital on Tap Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land FinCrime Data Scientist — AI‐driven Risk & Fraud in London
✨Tip Number 1
Network like a pro! Reach out to folks in the FinCrime and data science space on LinkedIn. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in SQL and Python. This is your chance to demonstrate your analytical prowess and how you can optimise FinCrime detection processes.
✨Tip Number 3
Prepare for interviews by brushing up on common FinCrime scenarios. We want you to be ready to discuss how you would tackle real-world problems using your advanced analytics skills.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace FinCrime Data Scientist — AI‐driven Risk & Fraud in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the FinCrime Data Scientist role. Highlight your experience with FinCrime detection rules and your analytical skills in SQL and Python. We want to see how your background fits perfectly with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about financial crime prevention and how your skills can help us optimise our detection processes. Keep it engaging and relevant to the role.
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical skills. Whether it's through specific projects or experiences, we want to see how you've used data to solve problems, especially in the context of FinCrime.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for both of us!
How to prepare for a job interview at Capital on Tap
✨Know Your FinCrime Basics
Make sure you brush up on the fundamentals of financial crime detection. Understand the common types of fraud and the analytics techniques used to combat them. This will show your potential employer that you're not just familiar with the jargon, but that you genuinely understand the field.
✨Show Off Your SQL and Python Skills
Prepare to discuss specific projects where you've used SQL and Python to analyse data or develop detection rules. Bring examples of your work, whether it's code snippets or case studies, to demonstrate your technical prowess. This will help us see how you can apply your skills in real-world scenarios.
✨Collaborate Like a Pro
Since this role involves working with various stakeholders, be ready to talk about your experience in collaborative projects. Share examples of how you've worked with different teams to achieve a common goal, especially in the context of product launches or process optimisation.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to FinCrime and their current challenges. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. We love candidates who are curious and engaged!
