Senior Fraud Analytics Lead

4 weeks ago

New York, New York, United States Assurant Full time
Fraud Analytics Role Overview

As a Senior Fraud Analytics Analyst at Assurant, you will play a pivotal role in identifying potential fraud risk across various data hierarchies. Your expertise will enable safer claims processes for our users and help the company manage claim risk intelligently.

Key Responsibilities
  • Leverage external and internal data to develop best-in-class fraud policies that create value for Assurant and its customers.
  • Work with large data sets to solve complex problems using various analytical and statistical approaches.
  • Collaborate with cross-functional teams to develop data-driven policies, processes, and models that improve overall fraud risk mitigation strategy.
  • Develop dashboards, analytical frameworks, and detailed reporting models to provide reliable insights to key stakeholders.
Data Management and Analysis

Deploy modern data management tools to curate important data sets, models, and processes. Identify areas for process automation and further efficiencies.

  • Develop and maintain data pipelines in support of various reporting, modeling, and machine learning initiatives.
  • Evaluate, select, and acquire new internal & external data sets that contribute to business decision-making.
  • Maintain accuracy within all data sets utilized in reporting and analytical processes.
Process Engineering and Integration

Work with internal partners to develop solutions that mitigate fraud risk across different lines of business, payment methods, and products.

  • Analyze existing processes or workflows using probability and statistics to optimize adaptive or corrective changes.
  • Document existing and new fraud workflows with applicable metrics and measures.
  • Liaison with appropriate areas to ensure applicable fixes/enhancements are implemented.
Requirements
  • Bachelor's Degree in Computer Science, Statistics, or other related field or relevant work experience.
  • 3+ years in Risk/Fraud.
  • 3+ years' experience in the analytics space, taking on progressively more complex work and senior roles.
  • Proven track record of solving complex problems with an in-depth understanding of data, product, and business impact.
  • Proficient working with at least one quantitative tool such as Python, R, or Stata.
  • Expertise in data visualization tools (e.g., Looker, Tableau, Power BI).
  • Advanced SQL is a must.
  • Understanding of and exposure to workflow management tools (Airflow, SSIS, UC4).
  • Strong ability to extract patterns and trends through the application of statistical techniques and hypothesis testing.
  • Strong critical thinking skills and the ability to think outside the box.
  • Organized and self-motivated individual, comfortable operating within ambiguity.
  • Excellent communication skills, with the ability to explain complex analytical findings to non-technical stakeholders.

This role requires a deep understanding of fraud concepts, the ability to support data pipelines, conduct statistical experiments, develop reports/dashboards for both internal and external audiences, and the ability to drive a broad set of projects independently.

The role also requires the ability to work with cross-functional teams (operations, finance, legal, customer experience, data sciences, data engineering, etc.) to influence and execute on fraud risk strategies.

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