Requirements:

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

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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.
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Implement the models and solutions of leading vendor such as Actimize, Experian, Socure, Verafin, etc. within pipelines.
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Write clean, maintainable, and well-documented code in SQL, SAS and Python.
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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.
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nWrite comprehensive Model Development documents post reviewing vendor materials, identifying gaps in information provided and interacting with vendor to procure information required.

nMust haves –

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SAS, SQL and basic python knowledge.
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Experience with data management, data cleaning, preparation of modeling datasets.
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Ongoing Model Monitoring experience.
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Basic Stats.
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nGood to have – Fraud model development/validation experience with exposure to vendor models like VISA, Actimize, LexisNexis, etc.

📌 Sas Model Developer Bengaluru (India)
🏢 Teamware Solutions
📍 India