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- Tasks: Lead a team of analysts to tackle real-world fraud challenges using data.
- Company: Join LexisNexis Risk Solutions, a leader in risk assessment and fraud detection.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Why this job: Make a tangible impact on customer experience while developing your leadership skills.
- Qualifications: Experience in fraud detection analytics and proficiency in SQL and Python required.
- Other info: This role includes a hands-on component, perfect for those who love data.
The predicted salary is between 43200 - 72000 £ per year.
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.
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)
- 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.
Contact Detail:
LexisNexis Risk Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science & Analytics Team Lead
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as ThreatMetrix and Snowflake. Having hands-on experience or relevant projects to discuss can set you apart during interviews.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully managed teams or projects in the past. Highlighting your ability to motivate and coach others will resonate well with the hiring team.
✨Tip Number 3
Prepare to discuss your analytical approach to fraud detection. Be ready to explain how you've used data analysis to drive business decisions and improve customer experiences in previous roles.
✨Tip Number 4
Network with current or former employees of LexisNexis Risk Solutions on platforms like LinkedIn. Gaining insights into the company culture and expectations can give you an edge in your application process.
We think you need these skills to ace Data Science & Analytics Team Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, fraud detection, and team management. Use specific examples that demonstrate your ability to lead a team and deliver impactful results.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and analytics. Discuss how your background aligns with the responsibilities of the role, particularly your experience with tools like SQL and Python, and your approach to managing teams.
Showcase Your Analytical Skills: Prepare to discuss specific projects where you applied statistical techniques or developed solutions for fraud detection. Be ready to explain your thought process and the outcomes of your analyses.
Highlight Collaboration Experience: Emphasise your experience working with internal and external stakeholders. Provide examples of how you've successfully collaborated to enhance data-driven decision-making and support business objectives.
How to prepare for a job interview at LexisNexis Risk Solutions
✨Showcase Your Leadership Skills
As a Data Science & Analytics Team Lead, it's crucial to demonstrate your ability to manage and motivate a team. Prepare examples of how you've successfully led teams in the past, focusing on your coaching style and how you promote growth within your team.
✨Highlight Your Technical Expertise
Be ready to discuss your experience with data analysis tools and techniques, especially those relevant to fraud detection like ThreatMetrix or SQL. Make sure to explain how you've applied these skills in real-world scenarios to drive results.
✨Prepare for Customer Interaction Scenarios
Since this role involves direct customer engagement, think of instances where you've effectively communicated complex data insights to clients. Practice articulating your thought process clearly and concisely, as well as how you handle customer queries.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your critical thinking and problem-solving skills. Prepare to discuss specific challenges you've faced in previous roles, how you approached them, and the outcomes of your solutions, particularly in the context of fraud detection.
