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Inizio Partners · 5 months ago

Data Scientist - Fraud Strategy

Malvern, Pennsylvania, United States

Full-time

Hybrid

Mid Level

4+ years exp

Inizio Partners is seeking a highly analytical and experienced Data Scientist to join their Fraud Strategy Practice. This role focuses on the development, implementation, and monitoring of fraud strategies using statistical and predictive analytics, machine learning, and data visualization to provide actionable insights for strategic decision-making.

Staffing & Recruiting

Responsibilities

Support the development and enhancement of fraud detection strategies across various financial products (e.g., new account opening, account takeover, money movement in retail or card)

Develop and tune fraud rules within platforms such as ThreatMetrix or other decisioning systems

Use data (structured and unstructured) to support fraud pattern identification and mitigation efforts

Create and maintain dashboards and reporting tools in Power BI, Tableau, or similar platforms to communicate fraud trends and strategy performance

Monitor the performance of fraud strategies by tracking KPIs such as detection rate, prevention rate, false positives, and loss capture

Conduct initial analyses and assist in root cause investigations for fraud incidents or false positive spikes

Collaborate with teams such as Fraud Operations, Product, Engineering, and external partners to gather inputs and support fraud strategy execution

Participate in validation of new rules, tools, and models to ensure alignment with fraud risk mitigation goals. Document processes, analytics steps, and findings clearly to contribute to internal knowledge sharing and reviews

Stay updated on industry fraud trends and evolving attacker techniques; share relevant learnings with the broader team

Qualification

Fraud strategy developmentStatistical methodsSQLPythonMachine learningData visualizationFraud rule developmentClient-facing experienceCommunication skillsCross-functional collaboration

Required

4+ years related work experience in fraud strategy or fraud data science field with building strategies or models in banking industry (Retail Bank, Consumer Cards)

Understanding of statistical methods, including classical statistics, probability theory, econometrics, and time-series analysis

High proficiency with data extraction and manipulation with SQL and Python

Working knowledge of Hive, Spark, AWS Sagemaker

Undergraduate degree or equivalent combination of training and experience

Graduate degree preferred

Proven expertise in fraud rule development and strategy implementation with LexisNexis fraud solutions or comparable solutions (e.g., Actimize, etc)

Strong verbal and written communication skills, especially in client-facing or cross-functional settings