Data Scientist I: AI, Risk Analytics

Bank of America; Charlotte (NC); On-site; USD 100,000 - 150,000; Full time

Job summary

Bank of America is seeking a Data Scientist I to join the THOR Data Engineering team within Global Risk Analytics. You will analyze large-scale financial transaction data, develop value-added attributes, and support AI-driven solutions across the enterprise.

You will work with stakeholders, apply SQL and analytics tools, contribute to risk management, revenue opportunities, and production validation while documenting processes and presenting findings to diverse partners.

Qualifications

• Experience in analytics, data science, and risk-focused data products.
• Ability to develop, validate, and document data-driven solutions.
• Strong collaboration with cross-functional teams and stakeholders.

Responsibilities

• Analyze large-scale transaction data to identify patterns, anomalies, and opportunities.
• Develop, evaluate, audit, and validate transaction categorizations and attributes.
• Apply quality-control, testing, documentation, and post-production validation.
• Collaborate with model owners, developers, users, and business teams.
• Identify opportunities to reuse AI technologies and data assets.
• Support analytical requests, user documentation, and training materials.

Skills

Data Analysis

Data Cleansing

Data Quality

Agile Practices

Technical Documentation

Written Communications

Research Methods

Data Management

Data Visualization

Presentation Skills

Risk Awareness

Attention to Detail

Cross-functional Collaboration

US Market Awareness

SQL

AI/ML

Tools

SQL

Job description

Bank of America is seeking a Data Scientist I to join the THOR Data Engineering team within Global Risk Analytics. You will analyze large-scale financial transaction data, develop value-added attributes, and support AI-driven solutions across the enterprise.

You will work with stakeholders, apply SQL and analytics tools, contribute to risk management, revenue opportunities, and production validation while documenting processes and presenting findings to diverse partners.