Provenir Inc
Lead Data Scientist, Fraud
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Who We Are
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. As a leading provider of decisioning and analytics products for financial services and other industries, we empower businesses to create digital-first decisioning solutions that drive business growth. If you’d like to work at an innovative fintech with a global footprint that is redefining the industry, then we want you!
Provenir AI owns the profiling engine at the heart of how our customers detect and prevent fraud. The engineering team is strong, they can build anything, you'll 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. There is no existing team to inherit, no legacy approach to maintain. You are the starting point.
You'll 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.
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The Role
This is a fraud domain role first. Data science is your toolkit, not your identity.
You'll own 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. That means sitting in front of risk teams at financial services organisations, getting under the skin of their data, and running iterative model development before handing production-ready specs to engineering.
The engineering team can execute on anything. They need you to tell them what matters. You'll be the fraud expert in every room.
What You Bring
You have built fraud detection models in production. You know what synthetic identity fraud looks like in the data. You've worked through the challenge of imbalanced datasets, messy labels, and adversarial patterns. You've managed the false positive problem and felt the commercial pressure that comes with it.
Specifically:
- 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
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If you've spent years being the fraud expert that everyone else relies on and you're ready to own a function, this is the role.
Our Employees
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.
Diversity and Inclusion
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.
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