Director, Fraud Analytics Consulting

🕒 Junho 3

🏄 California – Remoto

🏄 California – Remote

💵 $176.036 - $316.865 / ano

⏰ Tempo Integral

🔴 Especialista

👔 Diretor

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Experian

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1996

🤖 Inteligência Artificial

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

A Experian libera o poder dos dados para criar oportunidades para consumidores, empresas e a sociedade.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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