Senior Fraud Analyst

4 days ago

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Assurant

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specialty insurance • extended service products and related services • renters insurance • lender-placed homeowners insurance • flood insurance

10,000+

💰 Post-IPO Debt on 2023-02

Description

• As a Senior Fraud Analyst on the Fraud Data Team, you will be directly responsible for identifying potential fraud risk at all applicable levels of data hierarchy. • You’ll enable safer claims processes for our users and help Assurant manage claim risk intelligently. • 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 to influence and execute on fraud risk strategies.

Requirements

• Bachelor’s Degree in Computer Science, Statistics, or other related field or relevant work experience. • 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 tools such as Python, R, or Stata. • Expertise in data visualization tools (e.g., Looker, Tableau, Power BI). • Advanced SQL is a must. • 3+ years' experience in Risk/Fraud a plus. • 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 and comfortable speaking with senior/executive level leadership. • Intellectually curious, data-driven, result-oriented, high in agility and has a high desire to learn and contribute. • Experience with payment processing lifecycle and chargeback dispute process or working with machine learning and data science teams a plus.