Fraud Lead Analyst

San Jose (Hybrid 3 days a week in office)

We are partnered with a company that provides consulting services specializing in statistical analysis and risk management who are looking for an AI Language Developer to join their growing team.  

As a Fraud Lead Analyst, you will lead complex data analysis and insights focusing on fraud detection and prevention.  You will be responsible for conducting in-depth research and collaborate with stakeholders to implement data-driven strategies as well as develop and enforce best practices for fraud detection analysis while staying updated on industry trends.

Responsibilities

• Lead complex data analysis and insights focusing on fraud detection and prevention.
• Conduct in-depth research and collaborate with stakeholders to implement data-driven strategies.
• Develop and enforce best practices for fraud detection analysis while staying updated on industry trends.
• Utilize advanced statistical methods to analyze complex datasets for fraud patterns.
• Develop predictive models and algorithms to identify potential fraudulent activities.
• Provide strategic recommendations based on fraud analysis findings.
• Conduct thorough analysis of fraud trends and emerging technologies.
• Offer insights on fraud risks and strategic implications for the organization.
• Extract insights from large datasets using advanced techniques for fraud detection.
• Develop and maintain analytical models to mitigate fraud risks.
• Communicate findings effectively through reports and presentations.
• Collaborate with senior leaders to understand fraud detection goals.
• Provide data-driven recommendations for fraud prevention strategies.
• Deliver impactful presentations to stakeholders on fraud analysis insights.
• Lead fraud detection projects ensuring adherence to timelines and objectives.
• Coordinate cross-functional teams and define project scope for fraud analysis.
• Monitor progress and address issues throughout fraud detection projects.
• Introduce new analytical methodologies and tools for fraud detection.
• Contribute to organizational frameworks for fraud prevention.
• Mentor junior analysts to enhance fraud detection capabilities.

Requirements

• • Master’s degree in relevant field.
  • Extensive experience in fraud analysis and statistical modeling.
  • Proficiency in Python, R, or SQL.
  • Strong knowledge of fraud detection techniques and machine learning.
  • Track record of leading complex fraud detection projects.
  • Excellent problem-solving and communication skills.
  • Strategic mindset and strong leadership abilities.

This is a fantastic opportunity to join a growing team. The company offers life & health insurance coverage, additional annual time off, and training sponsorship program.

If this sounds like the ideal position for you apply today with an English version of your CV!