Senior Fraud Data Analyst II***Remote

Lexis Nexis 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 Lexis Nexis Risk at the link below,  .

About the Team

Lexis Nexis Risk Solutions
provides a full portfolio of Professional Services to expertly guide any business, of any size, through the design, implementation and ongoing optimization of best in class fraud, identity and authentication solutions. Helping customers get the most out of their technology investment, the
Engagement and Analytics team
provides a range of services, from strategy optimization and consulting to onsite support and Quarterly Business Reviews.

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 Healthcare, Insurance and other industries. 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 fraud solutions.

The comprehensive solutions that you build will go head‑to‑head against some of the most motivated attackers in the world to protect billions in revenue.

• Investigate:
  Conduct in-depth reviews of complex fraud cases to identify trends and actionable insights, making clear 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 offline analysis of customer data to expose patterns and tune rules. Produce executive-level reports and own the end‑to‑end delivery of your recommendations by writing rules into the Threat Metrix® decision engine.
• Consulting mindset:
  Apply effective questioning skills to quickly understand the business and fraud requirements of our customers, no matter their industry. Share best practices with fraud managers, risk analysts and project managers for combating persistent and emerging security threats.
• Customer focus:
  Demonstrate a professional and customer‑centric persona when interacting directly with customers via phone, e‑mail, and chat.
• Presentation:
  Use your strong attention to detail and ability to craft a story through data, delivering industry‑leading presentations for external and executive audiences with non‑technical backgrounds.
• Learn:
  Never stop developing your extensive knowledge of cybercrime and become a true SME – account takeover, scams, social engineering, Card Not Present (CNP) fraud, money laundering and mule fraud etc.
• Support:
  Continually disseminate your fraud expertise across the Data Science & Analytics team to support the growth of the team as a whole.
• Innovate:
  Propose and support research that deepens our understanding of the most complex fraud risks. Stay ahead of the industry by continuously thinking of new ways to apply our tools and solutions to customer problems such as romance scams and unwitting money mules. Inspire the team to think outside the box.
• Collaborate:
  Collaborate with Threat Metrix teams including Products, Engineering, Sales and other…