Senior Fraud Analyst
- Utilise data analytics tools and techniques to monitor, analyse, and interpret patterns of fraudulent activity.
- Monitor industry trends and best practices in fraud detection and prevention.
- Generate actionable insights and recommendations based on data analysis, presenting findings to senior management and stakeholders to support decision-making processes.
- Develop and maintain key performance indicators (KPIs) and metrics to track the effectiveness of Smartnumbers Solutions.
- Perform periodic strategic reviews of customer performance at individual and benchmark levels.
- Support initiatives surrounding the standardisation and automation of analytics tasks and reporting
- Engage and discuss findings with customers directly, providing recommendations and tracking initiatives and outcomes.
- Create a compelling narrative through data and context to influence customers across the Consortium.
- Participate in industry and member forums, including facilitating roundtables and presentations.
- Support customers through the adoption of new capabilities and best practices.
- Support sales and marketing in the creation of reports and presentations.
- Provide insights and recommendations to the Product team on key themes and product ideas born from customer feedback and analysis.
- Curious - You want to understand the problems our customers face and how we might solve them. You’re always looking for new opportunities to learn about our customers, the market, competitors, technology, etc
- You will have an eye for detail and the drive to understand how our complex business logic works and how you can change and standardise the process.
- Experience developing and implementing fraud detection rules utilising machine learning and anomaly detection.
- Customer-centric - You start with the customer and work back, whilst understanding that solutions have to work for our business as well
- Clear communicator - You’re capable of explaining things regardless of whether it’s to a customer, software engineer, salesperson, customer support agent or CEO
- Natural ability to collaborate across teams and communicate complex findings clearly to diverse audiences
- Proven track record of defining and championing outcome-based metrics that drive customer success
- Comprehensive experience working with data in a product environment, particularly in authentication, fraud or risk analytics, preferably within the financial services or telecommunications sectors
- Strong technical foundation in SQL and Python/R, with the ability to wrangle complex datasets into meaningful insights
- Experience with modern data visualisation tools (Looker, Tableau, Power BI) and a keen eye for presenting data effectively
- Proven track record of defining and championing outcome-based metrics that drive customer success
- Bachelor's degree or relevant qualifications in a quantitative field (Data Analytics, Statistics, Computer Science, or similar)
- Enthusiasm for rapid experimentation and a data-driven approach to combating fraud
- Understanding of Agile methodologies and how they apply to data analytics
- Hybrid working style, with the expectation of two days in the office (with a great City of London office base!)
- Family-friendly benefits, including paid parental leave policies
- An extensive health insurance policy for you, with an option to add your family members
- A workplace pension with Hargreaves Lansdown
- Life insurance of 4 x your salary
- A discretionary annual bonus of up to 10% of your salary
- Weekly self-development time to spend exploring your professional development interests
- 25 days of annual leave (plus bank holidays), your birthday off, and an opportunity to buy up to 5 days annual leave per year
- A holistic wellbeing support plan encompassing a variety of offerings to assist you. We provide you with a monthly £50 allowance to fund activities to best support your wellbeing as well as workshops and training to provide tools and guidance. Additionally, there is a wide-ranging employee assistance programme available to advise on personal, family or financial matters, and also fun social events all year round.
- An initial screening interview to explore your application
- A competency based interview to further explore experience and knowledge
- A problem solving technical test including an interview to present findings
- Culture focussed stage including HR and Bar-raiser interview
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