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- Tasks: Lead a team of data analysts to tackle fraud detection and deliver impactful solutions.
- Company: Join LexisNexis Risk Solutions, a leader in risk assessment and fraud prevention.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Why this job: Make a real-world impact while developing your leadership skills in a fast-paced industry.
- Qualifications: Experience in analytics management, fraud detection, and proficiency in SQL and Python required.
- Other info: Engage with global data and collaborate with top business leaders to enhance customer experience.
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: LexisNexis Risk Solutions
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 real-world applications of data analysis in fraud detection. Think of specific scenarios where your insights led to actionable outcomes, as this aligns closely with the role's responsibilities.
✨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 and interview 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 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 leading a team in the field of data science and analytics. Mention specific examples of how you've successfully managed teams or projects in the past, particularly in fraud detection or similar domains.
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. Highlight any experience with self-service analytics or dashboarding that aligns with the role.
Demonstrate Customer-Centricity: Since this role involves direct interaction with customers, include examples in your application that showcase your customer-centric approach. Discuss how you've previously engaged with clients to understand their needs and deliver effective solutions.
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
Make sure to discuss your experience with relevant technologies such as SQL, Python, and cloud computing environments like Snowflake. Be ready to explain how you've applied these skills in real-world scenarios, particularly in fraud detection and data analysis.
✨Prepare for Customer Interaction Scenarios
Since this role involves direct customer engagement, think about how you would handle various customer situations. Prepare to discuss your approach to presenting complex data insights in a clear and compelling manner, ensuring you convey a professional and customer-centric attitude.
✨Demonstrate Problem-Solving Abilities
Be prepared to discuss specific challenges you've faced in previous roles and how you approached solving them. Highlight your critical thinking skills and your ability to identify opportunities for improvement, especially in the context of data-driven decision-making.
