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Senior Data Scientist, Financial Crime

We're excited to be looking for a Senior Data Scientist in Financial Crime to help build the bank of the future. You'll have the opportunity to work as a part of the Financial Crime Data Science team and play a critical role in Monzo’s mission to make money work for everyone. As a Data Scientist, you’ll be working in an ever changing environment where we are building and iterating on our financial crime defence capabilities to ensure we keep Monzo and our customers safe. As a financial crime team we have 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. In addition, we have a great influence on the overall customer experience and it’s our duty to keep them safe. Most of the work we do results in directly measurable customer or company benefit which is incredibly satisfying. Our Data Scientists don’t have a permanent assignment to a problem space and might rotate into different financial crime areas after some time. The major problem spaces that we are working in are: fraud prevention, transaction monitoring for different types of suspicious activity, customer risk assessment and operational tooling to name the biggest ones. At the moment we are about 21 people in financial crime data, including Analytics Engineers, Data Analysts, Machine Learning Engineers and Data Scientists.  As part of your job you’ll work closely with product managers, engineers, designers and researchers in an agile product environment. You’ll champion the use of data, bring ideas to life through rigorous experimentation and A/B testing. You’ll help us get the most out of large volumes of data stored on a modern cloud native data platform and with spotting opportunities to make each area of financial crime work even better for our users and for Monzo.  Our culture is open and focused on collaboration between different functions and individuals. It is fast paced and innovative where we try to push the boundaries of the current financial industry best practices. We put a lot of emphasis on feedback (up, side and downwards) and personal growth and development.  The role As part of this role you'll: Develop and drive data solutions that improve our ability to fight financial crime and keep customers safe Conduct deep dives into various Fincrime systems for fraud detection, transaction monitoring and customer risk to identify key business opportunities Work closely with financial crime analysts, operations analysts, data scientists and engineers to understand the underlying business problem and propose an appropriate solution Translate regulatory reporting requirements into highly accurate data models and set the strategy for how we ensure the best possible data accuracy Build robust data models, reports and visualisations downstream of backend services (mostly in BigQuery SQL) that support internal management information as well as governance and regulatory reporting Investigate and effectively work with colleagues from other disciplines to address and improve data quality You should apply if: Reducing financial crime and protecting customers with data driven strategies sounds fun to you You have multiple years of analytics experience, preferably in a fast moving tech company or consultancy You are comfortable exploring potentially ambiguous business problems and enjoy finding technical solutions to them You’re as comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunities You have experience working together and collaborating with senior business stakeholders and product teams You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (SQL and Python). You know when to pick the right tool, and can help others do the same Nice to haves: Experience from working with financial crime and regulated institutions Logistics We can help you relocate to London & we can sponsor visas. This role can be based in our London office or remotely within the UK We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Diversity and inclusion is a priority for us – if we want to solve problems for people around the world, our team has to represent our customers. So we need to attract the best talent and create an environment that supports and includes them. You can read more about diversity and inclusion on our blog. If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. The application process consists of a 30 min phone call with a recruiter, an initial call with someone from the team, followed by a practical written exercise and 2-3 video interviews. We promise not to ask you any brain teasers or trick questions. Equal Opportunity Statement At Monzo, embracing diversity in all of its forms and fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. We're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.____________________________________________________________________________________________________________________________ #LI-NB2

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