Director, Fraud Analytics Consulting - Remote

Posted 15 Days Ago
Be an Early Applicant
Hiring Remotely in Costa Mesa, CA, USA
In-Office or Remote
Senior level
Big Data • Marketing Tech • Analytics
The Role
The Director of Fraud Analytics Consulting will lead a team to develop custom fraud detection models, mentor data scientists, and collaborate with clients to identify emerging fraud trends and enhance analytics capabilities.
Summary Generated by Built In
Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

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.

You will have opportunity to:

  • 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 

Qualifications

  • 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 

Additional Information

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Benefits/Perks:

  • 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
  • Explore all our exciting benefits here: https://myexperianbenefits.com/

Skills Required

  • 7+ years of experience in data science, analytics, or related quantitative field
  • Bachelor's or Master's degree in Statistics, Applied Mathematics, Econometrics, or related quantitative discipline
  • Deep expertise in analytics and machine learning
  • Experience in fraud and/or credit analytics
  • Strong Python skills for data analysis and machine learning
  • Experience working with clients or business partners in a consulting role
  • Experience designing scalable analytical processes

Experian Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Experian and has not been reviewed or approved by Experian.

  • Healthcare Strength Medical and dental coverage is described as strong, with expanded mental health resources and telemedicine options. Coverage includes inclusive services such as gender transition and fertility support.
  • Leave & Time Off Breadth Time-off offerings are generous, including substantial PTO/vacation, paid holidays, and paid volunteer days with options to purchase additional leave. Parental leave is available for birth and non-birth parents alongside flexible working arrangements that support work-life balance.
  • Retirement Support Retirement programs include a 401(k) with company matching and contributory pension schemes in some regions. These elements complement base pay and bonuses to form a competitive total rewards package.

Experian Insights

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The Company
HQ: Costa Mesa, CA
16,292 Employees
Year Founded: 1980

What We Do

Experian unlocks the power of data to create opportunities for consumers, businesses and society. During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity. We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow. About Experian: Bringing data to life requires creativity, passion, flexibility and expertise. We want you to share in our success. That's why we offer rewards that recognise great performance. Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career. Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.

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