Senior Data Analyst / Cryptocurrency Analyst
Intecon
CloudCyber SecurityPythonSQLTableauTypeScript
Vice President, New Account Underwriting and Fraud Strategy
BMG Money
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob Level
Lead
Tech Stack
CloudPythonSQL
About the role
- Develop and manage comprehensive new account underwriting and fraud prevention strategies to ensure proper risk mitigation, growth and profitability.
- Build, mentor, and manage a high-performing team of credit risk managers, data analysts and fraud strategy specialists.
- Evaluate new data and tooling to expand fraud detection capabilities.
- Assist decision sciences team in evaluation of new data sources for potential use in models, strategies or other consumer insights.
- Collaborate with decision sciences, account management, collections, compliance, and senior leadership to align credit and fraud strategies with business objectives.
- Establish and maintain strong working relationships with partner banks, ensuring mutual understanding of risk policies and model standards.
- Develop and oversee key performance metrics to evaluate the effectiveness of underwriting and fraud strategies.
- Monitor and improve credit and fraud strategy performance over time through rigorous testing and evaluation.
- Ensure compliance with regulatory standards and internal risk governance policies.
- Monitor of industry trends, regulatory changes, and emerging best practices in credit risk management and fraud prevention.
Requirements
- 10+ years of experience in credit risk and fraud management within the lending industry, preferably in subprime or non-prime segments.
- Proven leadership experience in building and managing strategic and analytic teams.
- Ability to build and manage high functioning remote teams.
- Strong understanding and application of credit scoring models.
- Strong strategic thinking and problem-solving skills with a data-driven mindset.
- Ability to assess complex risk scenarios and implement effective mitigation strategies.
- Familiarity with modern data platforms, Python, R, SQL, and cloud based analytic tools.
- Deep understanding of credit risk frameworks and regulatory requirements (e.g., FDIC, CFPB, OCC).
- Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.
