SAS and Python

Requirements

• Strong experience in SAS and Python.
• Good to have experience with Fraud models and Financial Crime experience.
• Solid understanding of relational databases and proficiency in SQL.
• Strong knowledge of Model Risk Management and the different aspects of MRM – development, validation, implementation, monitoring, governance, etc.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

Responsibilities

• Design, develop and implement statistical and rule-based models to detect fraud. Models will be used to detect Synthetic Fraud, Identity Theft Fraud, First Party Fraud, Authorized Fraud, etc.
• Implement the models and solutions of leading vendor such as Actimize, Experian, Socure, Verafin, etc. within pipelines.
• Write clean, maintainable, and well-documented code in SQL, SAS and Python.
• Conduct code reviews and work with multiple stakeholders – model users, model owners, business teams, to understand data structure and flow to build dataset for developing Ongoing Monitoring Framework.
• Write comprehensive Model Development documents post reviewing vendor materials, identifying gaps in information provided and interacting with vendor to procure information required.