Graduate Fraud Data Analyst
LexisNexis Risk Solutions
Date: 7 hours ago
City: London, England
Contract type: Full time
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. You can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com
Graduate Data Analyst Opportunity
Are you a recent university graduate with a passion for technology and problem-solving? Are you keen on turning challenges into solutions, and ready to embark on a dynamic career path? Join our team and be at the forefront of cutting-edge solutions.
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.
About the role: What skills will you develop?
As a Graduate Data Analyst within our team a typical day may look something like this:
Responsibilities
Graduate Data Analyst Opportunity
Are you a recent university graduate with a passion for technology and problem-solving? Are you keen on turning challenges into solutions, and ready to embark on a dynamic career path? Join our team and be at the forefront of cutting-edge solutions.
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.
About the role: What skills will you develop?
- Investigations: Conduct reviews of complex fraud cases to identify trends and actionable insights, making recommendations on how our customers can use your findings to build trust and mitigate risks.
- Analytics: Use your SQL and Python skills to increase our customers’ fraud capture while reducing false positives, conducting analysis of huge datasets to expose patterns and develop effective detection solutions. Produce executive-level reports and own the end-to-end delivery of your recommendations by configuring aspects of the ThreatMetrix decision engine.
- Consulting mindset: Engage with customers with the support of your colleagues to understand business requirements and latest fraud trends as seen from the front line.
- Customer focus: Demonstrate a professional and customer-centric persona when interacting directly with customers via phone, e-mail, and chat.
- Presentation skills: Use your exemplary attention to detail and ability to craft a story through data, delivering impactful presentations for external and executive audiences with non-technical backgrounds
- Fraud Knowledge: Develop a core understanding of fraud risks – account takeover, scams, social engineering, Card Not Present (CNP) fraud, money laundering and mule fraud etc.
- Innovation: Bring ideas from your studies to give a new perspective on how we can go about our work and chase opportunities for increased efficiency and effectiveness through innovation.
- Collaboration: Collaborate with ThreatMetrix teams including Products, Engineering, Sales and other Professional Services colleagues to continually redefine best practices
- Real World Impact: Get to make a real difference to our customers and society using cutting edge technology to fight fraud
- Diverse Clientele: Engaging with various industries ensures that the role remains stimulating. Whether it's traditional banking or the cutting-edge world of cryptofinance, the array of challenges keeps things interesting.
- Soft Skills Development: Thanks to the client-facing nature of the role, there's significant emphasis on developing soft skills that will be valuable throughout your career. From presenting to senior stakeholders to consulting with fraud teams, the role fosters comprehensive personal development.
- Continuous Learning Curve: Data Analysts are both good with customers and with the data & coding skills required to identify valuable insights from huge datasets. You will face a continuous learning curve given the evolving nature of fraud and technology. This ensures that your skill set remains relevant and ever-evolving.
- A Great Team: we are a closely knit team coming from a variety of backgrounds bringing a variety of skillsets, made even better by our culture of regular knowledge sharing. You will get to work alongside and learn from those who are at the cutting-edge of the intersection between fraud and technology.
As a Graduate Data Analyst within our team a typical day may look something like this:
Responsibilities
- Lead a call with a challenger App Only bank to discuss the fraud challenges they are facing.
- Querying billions of rows of data from the Data Analytics store to look for & study events that align with the challenges the customer told you about.
- Brainstorming with a colleague the types of data that could help prevent these fraud challenges in the future. Testing out your ideas via SQL and Python so that you can quantify the power of your recommendations.
- Presenting your findings and recommendations from an earlier project to an e-Commerce customer, highlighting how our products & data can help them capture more frauds while improving user experiences.
- Attend our team meeting to review the latest innovate ideas being explored by the team. Take the chance to present your own ideas and get feedback on how to convert into impact.
- Working on your innovation idea and giving a demo to your colleague, who sees how they can use it right away. Recent examples include: Combining Python and API requests to deliver huge speed gains on interactive network analysis; Developing visualisation tools for behavioural data; Exploring different ways to efficiently identify & make use of industry-wide fraud trends.
- A graduate with an academic background in a numeric discipline. In particular: Cyber Security, Computer Science, Data Science, Mathematics, Physics, Business, Economics
- Excellent analytical and coding skills (SQL, Python, etc.) and an interest in applying these skills in a business context
- Interested in Cybercrime Trends– a desire to understand the latest cybercrime trends and attack methods is required to deliver meaningful and effective risk models
- A keen eye for detail, accuracy and excellent critical thinking skills. All underpinned by a deep curiosity to learn about fraud and technology
- Loves engaging with people, understanding their needs, and providing tailored guidance.
- Someone who sees value in diverse experiences and is excited to consult with a myriad of companies.
See more jobs in London