About Smartnumbers
We are on a mission to stop fraud and improve customer authentication. Fraud affects millions and costs the UK billions. We provide real-time risk insights to prevent contact centre fraud by combining patented machine learning with deep domain knowledge.
We collaborate with leading organisations to protect banks, telecoms, and emergency services. We are committed to developing our people and high-performing teams.
What You'll Be Working On
Senior Fraud Analyst to join the Product & Success - Analytics team, reporting to the Chief Product & Success Officer. You will use Smartnumbers solutions to support value delivery to prospective and live customers. You will investigate suspicious events, provide insights and remediation recommendations, and collaborate with customers as an extension of their internal teams to ensure ongoing business value.
You will articulate measurable benefits to customers aligned with industry and regulatory metrics. You will operate on the Smartnumbers platform across markets and industries, positioning you as a contact centre, telephony and voice subject matter expert. The role is hands-on, customer-facing and multi-team-focused, with influence on the product roadmap and industry perspectives.
Key Responsibilities
* Analytics: Monitor, analyse and interpret patterns of fraudulent activity; track industry trends; generate actionable insights for senior management; develop KPIs and metrics; perform periodic strategic reviews; support standardisation and automation of analytics tasks.
* Customer Engagement: Discuss findings with customers, present recommendations, and support adoption of capabilities and best practices; facilitate industry forums and roundtables.
* Cross Team Collaboration: Support sales and marketing with reports/presentations; provide insights to the Product team on themes and ideas from customer feedback.
What You'll Need For The Role
We value diverse experience. Candidates should have a strong combination of several of the following skills, competencies and experience:
* Curious mindset and desire to understand customer problems and opportunities.
* Attention to detail and ability to understand and standardise complex business logic.
* Experience developing and implementing fraud detection rules using machine learning and anomaly detection.
* Customer-centric approach and ability to balance customer needs with business requirements.
* Clear communication across audiences (customer, software engineers, sales, executives).
* Ability to collaborate across teams and present complex findings clearly.
* Proven track record of defining outcome-based metrics that drive customer success.
Technical and Domain expertise
* Experience with data in a product environment, especially authentication, fraud or risk analytics, ideally in financial services or telecommunications.
* Strong SQL and Python/R skills to wrangle datasets into insights.
* Experience with data visualization tools (Looker, Tableau, Power BI) and presenting data effectively.
* Bachelor's degree or equivalent in a quantitative field.
* Enthusiasm for rapid experimentation and a data-driven approach to combating fraud.
* Understanding of Agile methodologies as applied to data analytics.
This isn’t a checklist; a strong desire to learn, tackle challenges and deliver value is essential.
What We Can Offer You
Competitive salary circa £75,000 per annum plus a comprehensive benefits package:
* Hybrid working with two days in the City of London office
* Family-friendly benefits, including paid parental leave
* Extensive health insurance with optional family cover
* Workplace pension with Hargreaves Lansdown
* Life insurance of 4 x salary
* Discretionary annual bonus up to 10%
* Weekly self-development time
* 25 days annual leave plus bank holidays, birthday off, and option to buy up to 5 extra days
* Wellbeing support including a £50 monthly wellbeing allowance and access to an employee assistance programme
The application process
We have a simple multi-stage process:
* Initial screening interview
* Competency-based interview
* Problem-solving technical test and presentation
* Culture-focused stage including HR and Bar-raiser interview
Smartnumbers is committed to equal opportunities in employment and welcomes all applications. Reasonable adjustments are available in our recruiting process. Please contact the hiring team for support. Privacy notice: https://smartnumbers.com/privacy-notice/
About Us
We help organisations fight fraud by enabling secure contact centres through a consortium of customers and partners. Our cloud-based AI-powered platform uses carrier network access, consortium-shared data on known fraudsters, and machine learning to protect contact centres and customers.
#J-18808-Ljbffr