At a Glance
- Tasks: Investigate fraud cases and analyse data to provide actionable insights for enterprise customers.
- Company: Join LexisNexis Risk Solutions, a leader in risk assessment and fraud detection.
- Benefits: Enjoy generous holidays, health benefits, wellbeing programs, and a competitive pension scheme.
- Other info: Collaborative team environment with opportunities for continuous learning and career growth.
- Why this job: Make a real-world impact by tackling fraud with cutting-edge technology and global data.
- Qualifications: Experience in fraud analysis, strong SQL and Python skills, and attention to detail.
The predicted salary is between 36000 - 60000 £ per year.
About the role
As a Senior Fraud Data Analyst, you\'ll use global data from the largest real-time fraud detection platform to deliver valuable solutions for our enterprise customers. You will apply your expertise in fraud and large-scale data analysis to investigate suspicious behavior and provide insights that lead to immediate real-world impact. You will underline the value of your recommendations by leveraging your deep experience with operational measures within industry and your ability to quickly translate customers\' fraud KPIs into opportunities. You\'ll leverage a real-time platform analyzing billions of transactions per month for some of the largest companies operating in Financial Services, Insurance, e-Commerce and On-Demand Services. These tools will allow you to attain a unique perspective of the Internet and every persona connected to it. You\'ll be continually collaborating with customer-facing account teams, external business leaders and risk managers to shape world-class,
Responsibilities
- Fraud Investigation: Review complex fraud cases to uncover trends and provide actionable recommendations that help customers reduce risk and build trust.
- Data Analysis: Apply SQL and Python to analyse customer data, improve fraud detection accuracy, and minimise false positives. Deliver insights through clear reports and implement rule changes in the ThreatMetrix® engine.
- Consulting Approach: Understand customer needs across industries through effective questioning. Share best practices with fraud and risk professionals.
- Customer Engagement: Communicate professionally with customers via phone, email, and chat, ensuring a positive experience.
- Storytelling with Data: Present findings clearly to technical and non-technical audiences, using data to support decision-making.
- Continuous Learning: Stay up to date on cybercrime trends such as account takeover, scams, social engineering, and money laundering.
- Team Contribution: Share knowledge and support the development of the wider analytics team.
- Innovation: Explore new ways to address complex fraud challenges and contribute to research on emerging threats.
- Collaboration: Work closely with teams across Product, Engineering, Sales, and Professional Services to refine and improve fraud strategies.
Qualifications
- Experience in fraud, financial crime, security, or payments, ideally within large organisations.
- Excellent analytical skills with experience in SQL and Python.
- Ability to work with large and small datasets to identify meaningful patterns.
- Experience with fraud detection tools (e.g. ThreatMetrix, Featurespace, Hunter, Iovation, BioCatch, Actimize Falcon).
- Skilled in creating reports for diverse audiences, including executives.
- Attention to detail, critical thinking, and sound judgement.
- Ability to manage multiple priorities in a fast-paced environment.
- Fluency in additional EMEA languages is a plus but not required.
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer 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 problems in Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management.
About our Team
You will be part of a team of analysts using global data from the largest real-time fraud detection platform to optimise solutions for our enterprise customers.
Working for you
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Generous holiday allowance with the option to buy additional days
- Health screening, eye care vouchers and private medical benefits
- Wellbeing programs
- Life Assurance
- Access to a competitive contributory pension scheme
- Save As You Earn share option scheme
- Travel Season ticket loan
- Electric Vehicle Scheme
- Optional Dental Insurance
- Maternity, paternity and shared parental leave
- Employee Assistance Programme
- Access to emergency care for both the elderly and children
- RECARES days, giving you time to support the charities and causes that matter to you
- Access to employee resource groups with dedicated time to volunteer
- Access to extensive learning and development resources
- Access to employee discounts scheme via Perks at Work
Senior Data Analyst in Camden Town employer: LexisNexis
At LexisNexis Risk Solutions, we pride ourselves on being an exceptional employer that prioritises your wellbeing and professional growth. As a Senior Fraud Data Analyst, you will thrive in a collaborative environment where innovation is encouraged, and your contributions directly impact our enterprise customers. With generous benefits, extensive learning resources, and a commitment to work-life balance, you'll find a rewarding career path in a company dedicated to making a difference in the world of risk assessment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in Camden Town
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by practising common questions related to fraud analysis and data interpretation. We recommend using the STAR method to structure your answers – it helps you showcase your skills effectively!
✨Tip Number 3
Show off your analytical skills during interviews! Bring examples of how you've used SQL and Python in past roles to solve real problems. This will demonstrate your hands-on experience and make you stand out.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Analyst in Camden Town
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with fraud analysis, SQL, and Python, and don’t forget to mention any relevant tools you've used. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about fraud detection and how your background makes you a perfect fit for our team. Be sure to connect your experiences to the responsibilities outlined in the job description.
Showcase Your Analytical Skills:In your application, give examples of how you've used data analysis to solve problems or improve processes. We love seeing real-world applications of your skills, especially when it comes to fraud detection and risk management.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at LexisNexis
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in fraud detection. Having specific examples of how you've improved accuracy or reduced false positives will really impress them.
✨Understand the Fraud Landscape
Familiarise yourself with current trends in cybercrime, such as account takeovers and social engineering. Being able to discuss these topics will show that you're not just technically skilled but also aware of the broader context in which you'll be working.
✨Prepare for Storytelling
Practice presenting your findings in a clear and engaging way. Think about how you can tailor your insights for both technical and non-technical audiences. This skill is crucial, as you'll need to communicate effectively with various stakeholders.
✨Show Your Collaborative Spirit
Be ready to talk about your experience working with cross-functional teams. Highlight any instances where you've collaborated with product, engineering, or sales teams to refine fraud strategies. This will demonstrate that you're a team player who values collaboration.
