Data Modeling, Fraud Analytics Consulting

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $100.6k - $174.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

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Experian

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 Description

• Work directly with TelCo clients to conduct investigative analytics, identify emerging fraud trends, and develop insights that only cross-industry consortium data can reveal. • Co-build custom fraud detection models with client teams, guiding them through Experian's proprietary data, analytics environment, and fraud detection methodologies. • Train and onboard clients on the platform, helping them build familiarity and confidence with Experian's analytics environment. • Translate ambiguous client questions and needs into well-defined hypotheses and analytical plans, then execute them independently and communicate findings clearly. • Define and implement a repeatable, scalable proof-of-value process that demonstrates the consortium's value to prospective and existing clients. • Build reusable tools, templates, and analytical frameworks that enable consistent, efficient delivery as the consortium grows. • Build confidence and credibility with client analysts, client executives, and internal Experian product and sales partners. • Collaborate with Experian's product team as an expert user, providing direct input to influence the development roadmap.

🎯 Requirements

• 6+ years of experience in data science, analytics, or a related field. • Degree (undergraduate or graduate) in Statistics, Econometrics, Electrical Engineering, or another quantitative discipline, or an equivalent combination of education and experience that shows quantitative reasoning and analytical ability. • Deep expertise in analytics and machine learning, with hands-on experience across the full modeling lifecycle; preference for experience in fraud, credit, or TelCo analytics. • Investigative analytics mindset - experienced at identifying patterns, forming hypotheses, and drawing meaningful conclusions from large-scale datasets. • Demonstrated capability to operate independently, translate ambiguous client needs into well-defined hypotheses, and execute clear analytical plans from start to finish. • Experience working directly with clients or business partners in a consulting or advisory role, building confidence and credibility across technical and executive audiences. • Experience designing or contributing to scalable analytical processes, tools, or frameworks. • 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.

🏖️ 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.