Manager, Analytics, Fraud, UK

Exciting opportunity for an experienced leader to work in our Ongoing Monitoring team. As a member of the team, we're looking for someone who is passionate about customer experience and fighting financial crime and wants to help drive our business forward as we continue to grow and expand in new markets. Ongoing Monitoring sits in our first line of defence (1LOD) operations’ department, responsible for monitoring the activity of our SME customers (‘members’) for the purpose of preventing, detecting and reporting sanctions, money laundering, terrorism financing, tax evasion, bribery and corruption, money mules and fraud.

Responsibilities

Work in a collaborative and cross-functional way to identify, quantify and own complex data driven business decisions to reduce our exposure to fraud; As part of the Fraud Analytics programme, use data to balance fraud losses, user friction and regulatory obligations; Work collaboratively with a wide range of stakeholders across the entire business to prioritise and translate compliance and business requirements into innovative solutions; Identify improvement opportunities to current business processes, create and contribute to the Fraud analytics roadmap; Build relationships with leadership and articulate the Fraud Analytics strategy to the business in a structured, data-driven manner - simplifying complex concepts for non-technical audiences; Build and lead the day-to-day analytics processes, ensuring Fraud risks are mitigated in an efficient manner and are meeting KPIs

Requirements

4+ years experience in analytics; Strong SQL, excel and visualisation skills and able to handle complex data structures from multiple sources; Experience in rule building, back testing and optimisation; Experience of Fraud compliance and regulation; Excited about working in a fast-changing environment and have the ability to adapt to the business challenges in front of you; Communicating clearly with other parts of the business, explaining financial crime, our processes whilst also managing expectations

Nice to have

financial crime experience preferred; python as well would be preferable; Experience building, reviewing, documenting and optimising business processes, isn’t a must have but would be advantageous

Benefits

Hybrid working model; Working Out of Office (WOO) policy; 25 days paid annual leave; 3 paid days off for volunteering or L&D activities; Commission based bonus structure; Extended maternity and paternity leave covered by the company; Personal L&D budget; Additional health & dental insurance; Mental wellbeing platform; Fully covered Multisports card; Food vouchers; Snacks, light food, drinks in the office; WFH equipment allowance; Flexible working from home; Work remotely from home or anywhere in home country; Option to work from a different country for 90 days of the year