Test Developer: Automation & Risk Analytics

Bank of America; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Bank of America seeks a skilled professional to join Enterprise Independent Testing (EIT) within Global Risk Management. You will develop models, analytical tools, and testing scripts to monitor operational health and ensure compliance across processes.

You will collaborate with process owners, risk managers, GCOR, and data teams to design testing methodologies, identify risks, and drive improvements and automation.

Qualifications

• Bachelor's degree or above in Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, or Data Science.

Responsibilities

• Embodies EIT core skills: critical thinking, decisiveness, enterprise mindset, proactivity, project management, risk management, adaptability, collaboration, customer and client focus, effective written and verbal communication, and control rigor and discipline
• Partners effectively with process and data owners in FLUs/CFs, risk managers, GCOR, and various teams within EIT for support and improvements
• Uses outputs to drive process improvements and timely detection of errors
• Communicates effectively to explain methodologies and results to senior stakeholders, auditors, and regulators
• Ensures compliance with laws, rules, and policies

Skills

Critical thinking

Decisiveness

Enterprise mindset

Proactivity

Project management

Risk management

Adaptability

Collaboration

Customer focus

Communication skills

Control discipline

Education

Bachelor's degree or higher

Finance

Economics

Mathematics

Computer Science

Statistics

Operations Research

Data Science

Job description

Bank of America seeks a skilled professional to join Enterprise Independent Testing (EIT) within Global Risk Management. You will develop models, analytical tools, and testing scripts to monitor operational health and ensure compliance across processes.

You will collaborate with process owners, risk managers, GCOR, and data teams to design testing methodologies, identify risks, and drive improvements and automation.