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Staff Risk Analyst, Fraud Program Management

1 week, 4 days ago
United States
Full-time
Senior
Data Analyst
Data Science and Analytics
Machine Learning Python R Snowflake SQL Tableau
Apply Now
SoFi

SoFi

SoFi specializes in providing a comprehensive financial platform that empowers individuals to achieve their financial goals through services such as student loan refinancing, debt consolidation, home buying assistance, and investment opportunities, all...

Capital Markets
1K-5K
Founded 2011
$2900M raised
View All Jobs 141

Description

  • Analyze fraud data across products and channels to identify trends, anomalies, and emerging risks.
  • Develop data-driven insights and recommendations to support fraud strategy, operations, and risk management decisions.
  • Partner with cross-functional teams to translate business problems into analytical solutions that improve fraud detection, prevention, and member experience.
  • Establish and enforce data governance standards for fraud metrics, including definitions, lineage, and controls.
  • Lead a strategic cross-functional data governance council to standardize fraud metrics and reporting.
  • Identify and resolve data quality, consistency, and availability issues affecting fraud reporting and analytics.
  • Partner with Data Engineering and BI teams to maintain reliable, scalable, and well-documented data sources.
  • Support the design and enhancement of Fraud KPIs, KRIs, and Risk Appetite Statement metrics.
  • Build and maintain Tableau dashboards and automated reporting solutions for real-time fraud visibility.
  • Deliver executive-level reporting and visualizations for fraud governance committees and leadership.

Requirements

  • 4+ years of experience in data analytics, fraud analytics, or risk analytics within financial services, fintech, or banking.
  • Strong experience working with large datasets and relational databases.
  • Advanced proficiency in SQL and experience with Snowflake or similar data platforms.
  • Experience building dashboards and data visualizations; Tableau is preferred.
  • Strong understanding of KPI/KRI frameworks, performance metrics, and risk monitoring concepts.
  • Experience with data governance, data quality management, or metric standardization.
  • Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.
  • Excellent communication skills for presenting findings to technical and non-technical stakeholders.
  • Ability to work cross-functionally and manage multiple priorities in a fast-paced environment.
  • Proficiency in Python, R, or SAS.
  • Advanced degree in Data Science or Machine Learning is preferred.
  • Experience implementing or overseeing AI/ML-based fraud detection models is preferred.
  • Experience working in or closely with model risk management is a plus.

Benefits

  • Comprehensive and competitive benefits package.
  • Base pay determined by experience, skills, and location.
  • Equal employment opportunity policy.
  • Reasonable accommodations available for candidates with physical or mental disabilities.
  • Remote work is not available from Hawaii or Alaska due to insurance coverage issues.

Interested in this position?

Apply directly on the company website

Apply Now

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