Team Lead, Data Science & Analytics

LexisNexis Risk Solutions; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

LexisNexis Risk Solutions seeks a Project-Program Management Team Lead in Data Science & Analytics to manage a team of analysts. In this role, you will leverage data to combat fraud and enhance customer profitability while driving continuous improvement. An ideal candidate will have extensive analytics management experience in fraud detection and proficiency in SQL and Python, contributing to impactful solutions for enterprise customers.

Qualifications

• Experience in analytics management in fraud detection.
• Proficiency in SQL and Python is critical.
• Experience with systems like ThreatMetrix or Featurespace favored.

Responsibilities

• Manage and lead a team of 3-5 analysts.
• Perform data analysis to identify high-risk behaviors.
• Collaborate with stakeholders to enhance data-driven decision-making.

Skills

Data analysis

Fraud detection

Statistical techniques

Critical thinking

Problem-solving

Education

Numerical degree

Tools

SQL

Python

Snowflake

Job description

Project-Program Management
Team Lead, Data Science & Analytics

• Location: London, London, City of, United Kingdom
• Contract Type: Regular
• Schedule: 40
• Job ID: R96672

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 the team: You will be leading and coaching a team of early career 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: Your experience with data analysis, fraud and technology will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. Alongside management duties you will lead by example and retain 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:

• Manage, lead and promote 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.
• Perform 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.
• 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 of best practice documentation.
• Demonstrate a professional and customer-centric persona when interacting directly with customers on a regular basis via phone, e-mail, and chat.
• Own strategic initiatives to deepen capabilities relating to self-service analytics, dashboarding and automating reporting of KPIs / wider MI.
• Collaborate with internal & external stakeholders to enhance data-driven decision-making and support business objectives.

Requirements:

• Analytics management experience in domain of fraud detection, with experience in systems such as ThreatMetrix, Featurespace, Hunter, Iovation, BioCatch, Actimize Falcon. (Banking and other very large organizations preferred preferred)
• Confident in choosing and applying statistical techniques in the correct manner, with a keen eye for detail and strong critical thinking skills. (A numerical degree is preferred)
• Proficiency in Snowflake or other cloud computing environments with focus on Big Data analytics, underpinned by proficiency in SQL and Python. Knowledge of version control and model monitoring principles is critical. Experience with interactive web applications is beneficial (Streamlit, Dash etc)
• Excels in conducting discovery sessions that aid internal and external stakeholders to define requirements, using consulting skills to deal with potential ambiguity and identify opportunities for scalable solutions.
• Excellent problem-solving skills and attention to detail with a focus on continuous improvement and innovation.

Learn more about the LexisNexis Risk team and how we work here

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. EEO Know Your Rights .

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