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- Tasks: Lead fraud detection strategy and develop models to combat financial fraud.
- Company: Provenir, a global fintech innovating decisioning solutions.
- Benefits: Comprehensive health plans, flexible remote work, and generous paid time off.
- Other info: Join a diverse team committed to innovation and inclusion.
- Why this job: Be the fraud expert shaping industry-leading solutions in a dynamic environment.
- Qualifications: Experience in deploying fraud detection models and strong Python skills.
The predicted salary is between 80000 - 100000 £ per year.
Provenir is a global fintech company with offices across North America, the UK, and Singapore backed by talented teams across APAC, EMEA, and LATAM. Provenir helps fintechs, financial institutions, and payment providers make smarter decisions, faster. We are passionate about technology and empowering businesses to become industry leaders.
Provenir AI owns the profiling engine at the heart of how our customers detect and prevent fraud. The engineering team is strong, and you will lead the team as someone who can look at the data, understand what the patterns mean, and tell the team what to build and why. This is a new function with no existing team to inherit or legacy approach to maintain.
You will partner with customers directly, take sample datasets, develop detection approaches in an offline environment, and translate findings into production-ready requirements for the engineering team.
The Role
This is a fraud domain role first. Data science is your toolkit, not your identity. You will own the fraud detection strategy for our profiling engine; developing models, shaping detection logic, and working directly with clients to understand their fraud problems and translate them into solutions.
What You Bring
- Deep knowledge of fraud typologies - synthetic identities, first-party fraud, fraud rings, mule accounts
- Proven track record deploying fraud models into production environments
- Strong Python and ML framework experience
- Solid understanding of MLOps - deployment, monitoring, challenger models, performance decay
- Experience working with real-world fraud data and messy identity information
- Comfortable being the fraud authority in the room, without a playbook handed to you
Our employees are our top priority; we offer comprehensive health and wellness plans. You will enjoy paid time off and company holidays, flexible and remote-friendly opportunities, and maternity/paternity leave.
At Provenir, we recognize that diversity and inclusion make our teams stronger. We are committed to equal employment opportunity and welcome everyone regardless of race, colour, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, or veteran status or medical condition. We encourage people from all backgrounds to apply.
Lead Data Scientist, Fraud employer: Provenir
Contact Detail:
Provenir Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist, Fraud
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work at Provenir or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've built fraud detection models before, consider creating a mini-project or case study to showcase your expertise. Share it on LinkedIn or during interviews to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by diving deep into Provenir's products and services. Understand their approach to fraud detection and think about how your experience aligns with their needs. This will help you stand out as a candidate who truly gets what they do.
✨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, it shows you're genuinely interested in joining the team at Provenir.
We think you need these skills to ace Lead Data Scientist, Fraud
Some tips for your application 🫡
Show Your Passion for Fraud Detection: When writing your application, let us see your enthusiasm for fraud detection! Share specific examples of how you've tackled fraud challenges in the past and what drives you to excel in this field. We want to know why you're the perfect fit for this role!
Tailor Your CV and Cover Letter: Make sure your CV and cover letter are tailored to the Lead Data Scientist position. Highlight your experience with fraud models, Python, and MLOps. Use keywords from the job description to show that you understand what we're looking for and how you can contribute.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications. Avoid jargon unless it's relevant, and focus on your achievements and skills that align with the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. This way, your application will go directly to us, and we can review it more efficiently. Plus, you'll get to explore more about Provenir while you're at it!
How to prepare for a job interview at Provenir
✨Know Your Fraud Stuff
Make sure you brush up on your knowledge of fraud typologies, especially synthetic identities and first-party fraud. Be ready to discuss real-world examples and how you've tackled these issues in the past. This will show that you're not just familiar with the theory but have practical experience too.
✨Showcase Your Data Skills
Prepare to talk about your experience with deploying fraud detection models into production. Highlight your proficiency in Python and any ML frameworks you've used. Bring along examples of how you've handled messy datasets and the strategies you've employed to manage false positives.
✨Understand Their Needs
Research Provenir and their approach to fraud detection. Think about how your skills can directly address their challenges. During the interview, ask insightful questions about their current processes and express how you can contribute to shaping their fraud detection strategy.
✨Be the Authority
Since this role requires you to be the fraud expert, practice articulating your thoughts clearly and confidently. Prepare to explain complex concepts in a way that’s easy to understand for non-experts. This will demonstrate your ability to communicate effectively with clients and team members alike.