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- Tasks: Build and deploy cutting-edge detection systems to combat financial crime.
- Company: Join a forward-thinking team dedicated to preventing financial crime.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and impact.
- Why this job: Make a real difference by detecting financial crime before it happens.
- Qualifications: Experience in data science, system performance, and financial crime detection.
The predicted salary is between 60000 - 80000 £ per year.
Experience building, tuning, or deploying detection systems (rules and/or models).
Ability to think about systems end-to-end. Not just models, but performance and outcomes.
Comfortable working across product, engineering, and compliance.
Profiles that tend to work:
- Fraud/risk data scientists from issuers, fintechs, or banks.
- TM or screening specialists who understand system performance, not just policy.
- Engineers who’ve built risk or monitoring systems at scale.
- Investigators or law-side profiles who’ve moved into detection and pattern analysis.
What doesn’t work:
- Ops-only or case handling backgrounds.
- Compliance or policy profiles without data or system ownership.
- Engineers with no exposure to financial crime or risk systems.
- People who can’t show what they’ve built, tuned, or improved.
Why this role exists: Most teams measure financial crime after it happens. This team is building the systems that detect it earlier, adapt faster, and scale properly.
Financial Crime Product - Data Scientists & Engineers employer: Alexander Barnes
Contact Detail:
Alexander Barnes Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Crime Product - Data Scientists & Engineers
✨Tip Number 1
Get your hands dirty with real-world projects! Showcase any systems you've built or improved, especially in financial crime detection. We want to see your practical experience, so don’t hold back!
✨Tip Number 2
Network like a pro! Connect with folks in the fintech and banking sectors. Attend meetups or webinars related to financial crime and data science. We might just spot you as a perfect fit for our team!
✨Tip Number 3
Prepare to discuss your thought process! When we chat, be ready to explain how you approach building and tuning detection systems. We love candidates who can think end-to-end about performance and outcomes.
✨Tip Number 4
Apply through our website! It’s the best way to get noticed by us. Make sure your application highlights your relevant experience and passion for tackling financial crime head-on.
We think you need these skills to ace Financial Crime Product - Data Scientists & Engineers
Some tips for your application 🫡
Show Your Experience: When applying, make sure to highlight your experience with detection systems and any relevant projects you've worked on. We want to see what you've built, tuned, or improved in the past!
Think End-to-End: Don’t just focus on models; show us how you think about systems as a whole. Explain how your work impacts performance and outcomes. This will help us understand your holistic approach to financial crime detection.
Tailor Your Application: Make your application stand out by tailoring it to our specific needs. Mention your familiarity with fraud and risk data, and how your background aligns with the role. We love seeing candidates who get what we’re all about!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and keep track of it. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Alexander Barnes
✨Know Your Stuff
Make sure you brush up on your knowledge of financial crime detection systems. Be ready to discuss any models or rules you've built, tuned, or deployed. Show them you understand the end-to-end process, not just the technical bits.
✨Showcase Your Experience
Prepare specific examples from your past roles where you've successfully contributed to fraud detection or risk management. Whether you're from a fintech, bank, or have experience in compliance, make it clear how your background aligns with their needs.
✨Think Systems, Not Just Models
Demonstrate your ability to think about system performance and outcomes. Discuss how you've approached building scalable risk or monitoring systems, and be ready to explain how you measure success beyond just model accuracy.
✨Collaborate and Communicate
Since this role involves working across product, engineering, and compliance, practice articulating your thoughts clearly. Be prepared to discuss how you've collaborated with different teams in the past and how you can bridge gaps between technical and non-technical stakeholders.