Lead Machine Learning Scientist, FinCrime

About our Machine Learning FinCrime Team:

Our Financial Crime Data team consists of over 25 people across 4 data specialisms: Analytics Engineers, Data Analysts, Machine Learning Scientists and Data Scientists. As a Lead Machine Learning Scientist, you’ll be working in a fast moving environment, building and iterating on our financial crime defensive capabilities to ensure we keep Monzo and our customers safe.

Our financial crime team has a large impact on Monzo’s bottom line as fraud and scams are usually some of the largest cost line items in a bank's P&L. We have a major influence on the overall customer experience and it’s our duty to keep our customers safe. The work we do results in directly measurable customer or company benefit, which is incredibly satisfying.

Our Machine Learning Scientists work on a range of problems within the different financial crime areas ranging from fraud detection and prevention, transaction monitoring for different types of suspicious activity through to customer risk assessment and operational tooling.

What you’ll be working on:

A Lead Machine Learning Scientist at Monzo is a technical Individual Contributor (IC) leadership position. As a technical Machine Learning expert, working with billions of rows of data stored on a modern cloud native data platform, we’ll be expecting you to leverage your deep experience of developing and deploying advanced Machine Learning models to:

• Automatically and accurately detect suspicious user behaviours while minimising impact to genuine customers and operational costs
• Adapt quickly and appropriately to changing fraud and financial crime trends, ensuring our detection systems remain performant through time.

The technical approaches you take to help solve these problems will be very much in your hands and we’ll strongly encourage and support experimentation and innovation. We’ll be expecting you to justify and demonstrate effectiveness along the way, making sure the approach meets our business and customer needs.

Your day-to-day:

As a technical individual contributor, you’ll be providing technical leadership and shipping highly impactful ML-based solutions. You’ll be embedded in a cross functional product squad, working closely with product managers, data scientists, backend engineers and designers in an agile environment. You’ll also be a technical leader within the Machine Learning discipline, helping to steer technical work and drive up standards.

This will involve:

• Working with stakeholders across the organization to identify and scope out the most impactful opportunities to tackle Financial Crime and Fraud with Machine Learning.
• Leading the design and development of advanced Machine Learning models to detect and prevent financial crime.