Director, Fraud Analytics Consulting - Remote

Experian • Costa Mesa, CA

1d • $176,036 - $316,865 • Remote

About The Position

The Fraud Analytics & Commercialization team drives Experian's fraud analytics business through four integrated functions — pre-sales engagement, scalable and custom solutions, consulting, and operational enablement — with the goal of becoming the industry's provider-of-choice. The Director of Fraud Analytics Consulting will work directly with major financial institutions to co-build custom fraud detection models and help clients understand emerging fraud trends. The role calls for a seasoned data scientist with an impact-focused mindset and strong collaborative, critical-thinking, and problem-solving skills — and welcomes candidates from unconventional backgrounds who demonstrate curiosity and self-direction. In addition to client-facing analytical work, the Director will mentor and develop the team, partner with product teams to scale analytics capabilities, and foster a culture of thoroughness, empathy, and shared success. This is a remote position. You will report to the SVP of Fraud Analytics.

Requirements

• 7+ years of experience in data science, analytics, or a related quantitative field
• Bachelor’s or Master’s degree in Statistics, Applied Mathematics, Econometrics, or a related quantitative discipline – or an equivalent combination of education and experience that demonstrates strong quantitative reasoning and analytical ability
• Deep expertise in analytics and machine learning, with hands-on experience across the full modeling lifecycle; experience in fraud and/or credit analytics preferred
• Strong investigative analytics mindset — skilled at identifying patterns, forming hypotheses, and drawing meaningful conclusions from complex, large-scale datasets
• Demonstrated ability to lead, mentor, and develop data scientists
• Experience working with clients or business partners in a consulting, advisory, or client-facing analytics role
• Able to translate an ambiguous client need into a well-defined hypothesis with an analytical plan to address it
• Experience designing scalable analytical processes, tools, or frameworks — ideally in a context where repeatability and efficiency were business priorities
• Strong Python skills for data analysis and machine learning, including PySpark, Polars, NumPy, and Pandas; familiarity with large-scale data processing frameworks and cloud platforms, especially Spark and AWS
• Willingness to travel periodically for on-site client workshops and engagements

Responsibilities

• Partner with major financial institutions and emerging market clients to help them realize the full potential of Experian's proprietary fraud data and analytics solutions
• Co-develop custom fraud detection models with client teams, guiding them through the data, the analytics environment, and Experian's proprietary fraud detection methodologies
• Conduct investigative analytics to help clients identify new fraud trends, emerging risk patterns, and evolving threats across their portfolios
• Design and implement scalable proof-of-value processes, including standardized templates and automation, to support expansion into new markets and client segments
• Build self-serve tools and onboarding resources that accelerate time-to-value for down-market clients and support their path to self-sufficiency
• Partner with product teams to shape the analytics consulting strategy for market expansion
• Lead, mentor, and develop a small team of data scientists, creating an environment where curiosity, collaboration, and continuous growth are the norm
• Serve as a trusted advisor and subject matter expert to clients, translating complex analytical concepts into clear, actionable insights

Benefits

• Great compensation package and bonus plan
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment, ability to work remote, hybrid or in-office
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: Associate degree