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- Tasks: Use advanced analytics to combat financial crime and mitigate fraud losses.
- Company: Dynamic fintech company in London focused on innovation.
- Benefits: Private healthcare, annual learning budget, and hybrid work model.
- Why this job: Make a real difference in fraud detection while developing your analytical skills.
- Qualifications: Degree in Economics or STEM with strong analytical abilities.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A fintech company in London is looking for a Risk Analyst/Data Scientist to enhance their Financial Crime detection efforts. You will utilize advanced analytics, SQL, and Python to influence risk-based decision-making and mitigate fraud losses. This hybrid role mandates collaboration with various stakeholders and a thorough understanding of compliance regulations.
The ideal candidate holds a degree in Economics or STEM and possesses high-level analytical skills. Competitive perks include private healthcare and an annual learning budget.
FinCrime Data Scientist: Fraud & Risk Analytics 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: Fraud & Risk Analytics in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working in fraud and risk analytics. A friendly chat can open doors and give you insights that might just land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in SQL and Python. Whether it's a cool data visualisation or a predictive model, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on compliance regulations and current trends in financial crime. We want you to be the go-to expert in the room, so dive deep into the topics that matter most in this field.
✨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 are proactive about their job search!
We think you need these skills to ace FinCrime Data Scientist: Fraud & Risk Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with advanced analytics, SQL, and Python. We want to see how your skills align with the role of a FinCrime Data Scientist, so don’t hold back on showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about financial crime detection and how your background in Economics or STEM makes you a perfect fit for our team. Let us know what excites you about this role!
Showcase Collaboration Skills: Since this role involves working with various stakeholders, highlight any past experiences where you’ve successfully collaborated with others. We love seeing examples of teamwork and how you’ve influenced decision-making in your previous roles.
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 don’t miss out on any important updates. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Capital on Tap
✨Know Your Data Inside Out
As a FinCrime Data Scientist, you'll be expected to have a solid grasp of data analytics. Brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to tackle fraud or risk issues.
✨Understand Compliance Regulations
Since this role involves compliance, make sure you’re familiar with relevant regulations in the fintech space. Research the latest trends in financial crime detection and be prepared to discuss how they impact risk-based decision-making.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical thinking during the interview. You might be asked to solve a case study or analyse a dataset on the spot. Practise explaining your thought process clearly and logically, as this will show your problem-solving abilities.
✨Collaborate and Communicate
This role requires collaboration with various stakeholders, so highlight your teamwork skills. Think of examples where you've successfully worked with others to achieve a common goal, especially in high-pressure situations related to fraud or risk management.
