Fraud Analytics Team Lead

4 weeks ago

London, United Kingdom LexisNexis Risk Solutions Full time
Job Description

Fraud Analytics Team Lead - LexisNexis Risk Solutions


About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com



About our Team: As an Analytics Team Lead, you will be leading and coaching a team of data analysts to use global data from the largest, real-time fraud detection platform to craft solutions for our enterprise customers and deliver against strategic projects.



About the Role: In this role you will use your experience with data analysis in fraud and technology. You will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability.


You will lead by example retaining a 40% hands-on component in this customer-facing role. You will promote and maximise the value of our data by collaborating with engagement managers and external business leaders.


The comprehensive solutions that you and your team build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue.



Responsibilities

  • Managing, leading and promoting a team of 3-5 analysts. Scope and plan deliverables, ensuring that your team’s delivery is on track. Motivate your team to grow in their roles
  • Performing data analysis to identify both high-risk and trusted behaviours, translating findings into actionable insights. Ranging from intuitive rules to high-performing policy score optimisations. which will be deployed live in the ThreatMetrix®decision engine
  • Staying ahead of fraud & industry trends and continuously propose new ways to fight emerging & dormant threats. Inspire the wider team to do the same and think outside the box, beyond the data etc
  • Producing materials summarising your analysis and present compelling narratives to customers and prospects. Guide your team to do the same through regular coaching, brainstorming and maintaining of best practice documentation
  • Collaborating with wider teams. These include Product, Engineering, Sales and Marketing to help shape and improve our products and external messaging
  • Demonstrating a professional and customer-centric persona when interacting directly with customers on a regular basis via phone, e-mail, and chat


Requirements

  • Demonstrate Analytics management experience in the security, fraud, financial crime or payments industry. (Banking and other very large organizations ideal)
  • Show a keen interest in working with both large and small datasets. Have a fluency in SQL that allows you to effortlessly scale up original ideas generated through your close analysis. (Knowledge of Python)
  • Demonstrate Confidence in choosing and applying statistical techniques in the correct manner
  • Show a keen eye for detail and good critical thinking skills
  • Show a deep curiosity that drives your investigations into fraud. Account takeover, scams, social engineering, Card Not Present (CNP) fraud, money laundering, money mules, synthetic identity etc
  • Experience with fraud system managements such as ThreatMetrix, Featurespace, Hunter, Iovation, BioCatch, Actimize Falcon, etc.
  • Be able to present with an ability to remain calm & composed when ideas are challenged. maintain a professional & customer-centric persona in all external interactions.



LexisNexis Risk Solutions is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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