Data Scientist I — Risk & Fraud Modeling

Bank of America; Phoenix (AZ); On-site; USD 107,000 - 193,000; Full time

Job summary

Bank of America is seeking a data scientist/model developer to analyze large datasets, develop risk management solutions, and create extensive technical documentation for a range of models from regression to advanced techniques (XGB, neural networks, graph). This role requires collaboration with developers and stakeholders to ensure accuracy and compliance with Model Risk Management standards.

Ideal candidates will have 3+ years in model development/validation, strong Python and SQL skills (SAS

Qualifications

• 3+ years of experience in model development or validation.
• Proficient Python and SQL (SAS a plus).
• Excellent technical writing skills.
• Strong problem-solving and analytical abilities.
• Ability to manage projects with limited direction in a team.
• Excellent communication and influencing skills.

Responsibilities

• Develop advanced documentation for internally- and vendor-developed models (regression to XGB, neural networks, graph).
• Collaborate with developers to understand model workings and challenge methodologies.
• Coordinate with technology and model users for deployments and future installations.
• Work with model risk management, legal and compliance to validate and approve models.
• Produce analytics to validate early model results against expectations.
• Monitor models and share performance insights with stakeholders.
• Support policy for AI models and mitigate associated risks.
• Track changes post-deployment and update documentation.
• Drive advanced model performance analytics beyond policy requirements.

Job description

Bank of America is seeking a data scientist/model developer to analyze large datasets, develop risk management solutions, and create extensive technical documentation for a range of models from regression to advanced techniques (XGB, neural networks, graph). This role requires collaboration with developers and stakeholders to ensure accuracy and compliance with Model Risk Management standards.

Ideal candidates will have 3+ years in model development/validation, strong Python and SQL skills (SAS