Quantitative Engineer & AI Analytics Specialist

Bank of America; Charlotte (NC); On-site; USD 110,000 - 150,000; Full time

Job summary

Bank of America in Charlotte seeks a data engineer focused on Global Risk Analytics to design and implement technical solutions enhancing data, testing, and analytical capabilities.

You will collaborate with process owners, risk managers, and technologists to assess current state processes, data flows, and risks, while applying software engineering, big data, data science and risk management skills.

Qualifications

• Bachelor's degrees or above in fields including but not limited to: Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science (or equivalent work experience)

Responsibilities

• Apply critical thinking, risk management principles to understand processes, controls and risks to design technical solutions.
• Partner with process owners, data owners, Front Line Units, Technology teams and stakeholders to gather requirements and map technology landscapes.
• Leverage programming expertise and SDLC to build scalable analytical solutions aligned with regulatory requirements and operational efficiency.
• Source, validate, and analyze data while designing scalable data pipelines across large datasets.
• Understand governance, security, observability and auditability for AI-enabled solutions and drive continuous improvement.

Skills

Analytical thinking

Communication

Software engineering & AI development

Data engineering & analytics

Education

Bachelor's degree or above in Mathematics, Computer Science, Statistics, Operations Research, Data Science

Tools

Python

Job description

Bank of America in Charlotte seeks a data engineer focused on Global Risk Analytics to design and implement technical solutions enhancing data, testing, and analytical capabilities.

You will collaborate with process owners, risk managers, and technologists to assess current state processes, data flows, and risks, while applying software engineering, big data, data science and risk management skills.