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- Tasks: Lead a team of analysts to tackle real-world fraud challenges using global 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 analytics management, fraud detection, and proficiency in SQL and Python required.
- Other info: Engage directly with customers and collaborate with stakeholders to drive data-driven decisions.
The predicted salary is between 48000 - 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.
Data Science & Analytics Team Lead employer: JobFlurry
Contact Detail:
JobFlurry 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 in the past. Be ready to discuss your coaching style and how you motivate team members to achieve their best.
✨Tip Number 3
Prepare to discuss real-world applications of data analysis in fraud detection. Think of specific scenarios where your insights led to actionable outcomes, as this will demonstrate your ability to translate data into business value.
✨Tip Number 4
Network with professionals in the fraud detection and analytics space. Engaging with industry experts can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Data Science & Analytics Team Lead
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Science & Analytics Team Lead position. Tailor your application to highlight relevant experience in fraud detection and analytics management.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with data analysis, team leadership, and any specific tools mentioned in the job description, such as ThreatMetrix or SQL. Use concrete examples to demonstrate your impact in previous roles.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also conveys your passion for data analytics and fraud prevention. Mention how your skills align with LexisNexis Risk Solutions' mission and values.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for this role.
How to prepare for a job interview at JobFlurry
✨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
Make sure to discuss your experience with data analysis tools and techniques relevant to fraud detection. Be ready to talk about your proficiency in SQL, Python, and any cloud computing environments like Snowflake, as well as your familiarity with systems such as ThreatMetrix.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and critical thinking. Think of scenarios where you've had to analyse data to identify risks or develop solutions, and be prepared to explain your thought process and the outcomes.
✨Demonstrate Customer-Centric Thinking
Since this role involves direct interaction with customers, be prepared to discuss how you approach customer relationships. Share examples of how you've effectively communicated complex data insights to clients and how you ensure their needs are met.
