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

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

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

Director, Fraud Analytics Consulting

Key skills