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- Tasks: Lead a team of data analysts to tackle real-world fraud challenges.
- 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 profitability while developing your leadership skills.
- Qualifications: Experience in fraud detection analytics and proficiency in SQL and Python required.
- Other info: We value diversity and provide an accessible hiring process for all applicants.
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.
Team Lead, Data Science & Analytics employer: Risk Solution Group
Contact Detail:
Risk Solution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Team Lead, Data Science & Analytics
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as ThreatMetrix and SQL. 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 in the past. Highlight any coaching or mentoring experiences that demonstrate your ability to motivate and develop others.
✨Tip Number 3
Research LexisNexis Risk Solutions and their approach to fraud detection. Understanding their business model and recent developments will help you engage in meaningful conversations during interviews.
✨Tip Number 4
Prepare to discuss your problem-solving strategies and how you've applied data analysis to drive business decisions. Be ready to share specific examples that illustrate your analytical thinking and attention to detail.
We think you need these skills to ace Team Lead, Data Science & Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis and fraud detection. Emphasise your management skills and any specific tools or technologies mentioned in the job description, such as ThreatMetrix, SQL, and Python.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data science and analytics, particularly in the context of fraud detection. Share specific examples of how you've led teams or projects that align with the responsibilities outlined in the job description.
Showcase Your Analytical Skills: Prepare to discuss your analytical skills in detail. Be ready to provide examples of how you've used statistical techniques to solve problems or improve processes, especially in a customer-facing role.
Highlight Collaboration Experience: Since the role involves collaboration with internal and external stakeholders, include examples in your application that demonstrate your ability to work effectively with others. Mention any experience you have in conducting discovery sessions or defining requirements.
How to prepare for a job interview at Risk Solution Group
✨Showcase Your Leadership Skills
As a 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 foster growth among team members.
✨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. Show that you can apply statistical methods effectively and have a strong understanding of Big Data analytics.
✨Prepare for Customer Interaction Scenarios
Since this role involves direct customer engagement, think of instances where you've successfully communicated complex data insights to clients. Practice articulating your thought process clearly and professionally, as this will be key in demonstrating your customer-centric approach.
✨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, particularly in fraud detection, and how you approached finding solutions while maintaining attention to detail.
