Analytics Team Lead

About the role

As an Analytics Team Lead, you will provide technical and project leadership across analytics engagements, using global data from the largest, real-time fraud detection platform to craft solutions for our enterprise customers and deliver against strategic projects.

Responsibilities

• Lead analytics workstreams end-to-end: scope and plan deliverables, align stakeholders, and ensure delivery is on track.
• Provide day-to-day guidance and mentorship to analysts and partners (without direct people management responsibility initially).
• Perform data analysis to identify both high-risk and trusted behaviours, translating findings into actionable insights ranging from intuitive rules to high-performing policy and score optimisations.
• You will design, test, and deploy single- and multi-product solutions on our Dynamic Decision Platform.
• Stay ahead of fraud and industry trends and continuously propose new ways to fight emerging and dormant threats.
• Inspire the wider team to do the same and think outside the box beyond the data.
• Produce 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 best practice documentation.
• Develop, standardize, and implement best practices and reusable assets (analytics playbooks, scripts, reporting/presentation templates, and repeatable processes) to scale analytics delivery across the National Cross Market Professional Services team.
• Provide enablement such as deck creation support and storytelling training to raise the bar on insight communication.
• Collaborate with wider LNRS teams including Product, Engineering, Sales and Marketing to help shape and improve our products and external messaging.
• Help quantify and champion the value and impact of analytics Professional Services engagements internally and externally.
• Demonstrate a professional and customer-centric persona when interacting with internal stakeholders and, as needed, directly with customers via phone, e-mail, and chat.

Requirements

Proven analytics leadership in the security, fraud, financial crime, or payments industry—leading complex engagements end-to-end and influencing stakeholders without formal authority (experience in banking or other large enterprises preferred).

Strong interest in working with both large and small datasets; advanced SQL is required, and Python is preferred.

Deep curiosity about fraud and financial crime patterns, including account takeover, scams and social engineering, Card Not Present (CNP) fraud, money laundering, mule activity, and synthetic identity.

Experience with fraud/risk decisioning platforms and operational analytics (e.g., ThreatMetrix, Featurespace, Hunter, iovation, BioCatch, Actimize/Falcon, etc.); experience delivering solutions in multi-product decisioning environments is a plus.

Polished communicator and presenter with the ability to remain calm and credible when ideas are challenged, maintaining a professional and customer-centric approach in internal and external interactions.

Qualifications

Quantitative degree preferred.

Skills

Advanced SQL is required, and Python is preferred.

Benefits

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Pay

U.S. National Base Pay Range: $115,400 - $192,300.

Schedule

Location: United States (Remote)