Quantitative Engineer, AI & Risk Analytics

Bank of America; Jersey City (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

Bank of America is seeking a skilled software engineer for Global Risk Analytics to design, build, and deploy scalable data pipelines and AI-enabled risk models. You will work with modelers, risk managers, and technologists to shape the future state of data analytics and testing across Global Risk Management.

The role emphasizes collaboration, governance, and delivering robust, compliant tech solutions in a dynamic financial environment.

Qualifications

• Bachelor’s degree or higher in fields including Mathematics, Computer Science, Statistics, OR related fields.
• Minimum 2 years of software engineering experience in Quantitative Finance or related industries.
• Proficiency in Python and AI development with SDLC best practices.

Responsibilities

• Apply quantitative methods to meet risk, data, and regulatory requirements.
• Understand financial data, schemas, flows, and data controls.
• Build scalable data pipelines and analytics solutions for large datasets.
• Deliver high-quality code for models and testing processes.
• Collaborate with stakeholders across the Bank to align modeling and testing processes.
• Develop innovative approaches beyond current industry standards.

Skills

Analytical Thinking

Problem Solving

Python

AI Development

Data Engineering

SDLC

SQL

Communication

Stakeholder Management

Regulatory Knowledge

Education

Bachelor's degree

Tools

LLM Platforms

Job description

Bank of America is seeking a skilled software engineer for Global Risk Analytics to design, build, and deploy scalable data pipelines and AI-enabled risk models. You will work with modelers, risk managers, and technologists to shape the future state of data analytics and testing across Global Risk Management.

The role emphasizes collaboration, governance, and delivering robust, compliant tech solutions in a dynamic financial environment.