Data Modeling, Fraud Analytics Consulting

This is a fully remote position, open to applicants in United States.

📋 Description

• Engage directly with TelCo clients to perform investigative analytics, uncover emerging fraud trends, and generate insights that can only be derived from cross-industry consortium data.

• Collaborate with client teams to co-create customized fraud detection models, guiding them through Experian's proprietary data, analytics environment, and fraud detection techniques.

• Educate and onboard clients onto the platform, aiding them in developing familiarity and confidence with Experian's analytics ecosystem.

• Convert ambiguous client inquiries and requirements into well-structured hypotheses and analytical plans, executing them independently and clearly presenting findings.

• Establish and implement a repeatable, scalable proof-of-value process that showcases the consortium's value to both prospective and existing clients.

• Develop reusable tools, templates, and analytical frameworks that support consistent and efficient service delivery as the consortium expands.

• Build trust and credibility with client analysts, executives, and internal Experian product and sales teams.

• Work alongside Experian's product team as an expert user, offering direct input to shape the development roadmap.

⛳️ Requirements

• A minimum of 6 years of experience in data science, analytics, or a related field.

• An undergraduate or graduate degree in Statistics, Econometrics, Electrical Engineering, or a similar quantitative discipline, or a comparable combination of education and experience that demonstrates quantitative reasoning and analytical skills.

• Extensive expertise in analytics and machine learning, with practical experience covering the entire modeling lifecycle; preference for experience in fraud, credit, or TelCo analytics.

• An investigative analytics mindset—skilled in identifying patterns, formulating hypotheses, and deriving significant conclusions from large data sets.

• Proven ability to work independently, translate unclear client needs into well-defined hypotheses, and execute clear analytical plans from inception to completion.

• Experience in directly collaborating with clients or business partners in a consulting or advisory capacity, establishing confidence and credibility with both technical and executive audiences.

• Experience in designing or contributing to scalable analytical processes, tools, or frameworks.

• Proficient in Python for data analysis and machine learning, including knowledge of PySpark, Polars, NumPy, and Pandas; familiarity with large-scale data processing frameworks and cloud platforms, particularly Spark and AWS.

• Willingness to travel occasionally for on-site client workshops and engagements.

🏝️ Benefits

• Competitive compensation package along with a bonus plan.

• Comprehensive benefits including medical, dental, vision, and a matching 401K.

• Flexible work environment with options to work remotely, in a hybrid setup, or in-office.

• Flexible time off policies, including volunteer time off, vacation days, sick leave, and 12 paid holidays.