Data-Driven Risk Quant & AI Solutions

Bank of America; Charlotte (NC); On-site; USD 89,800 - 153,300; Full time

Benefits offered by this job

Comprehensive benefits

Paid time off

Discretionary incentive eligibility

Job summary

Bank of America is seeking a Quantitative Finance Analyst in Charlotte, NC, to lead data-centric AI initiatives within Global Risk Management. The role involves conducting quantitative analytics, managing risk stress testing, and supporting model development. Candidates should have a Bachelor’s in Computer Science or Data Science, with 4+ years of relevant experience. Strong familiarity with data tools such as Python, Spark, and risk management systems is essential. Competitive salary range offered: $89,800 - $153,300 annually, with comprehensive benefits.

Qualifications

• 4+ years of experience in data & AI platform/solutions and data management.
• Strong experience with risk reporting systems and data warehouses.
• Knowledge of AI and GenAI patterns.
• Proven track record of product roadmaps for data platforms.
• Strong stakeholder management skills.

Responsibilities

• Conduct quantitative analytics and modeling for risk management.
• Perform market risk stress testing and report results.
• Support model development and risk management.
• Manage data strategy and architecture for AI solutions.
• Collaborate with stakeholders on validation outcomes.

Skills

Critical Thinking

Quantitative Development

Risk Analytics

Risk Modeling

Data Modeling

Problem Solving

Communication

Education

Bachelor’s degree in computer science/engineering, Data Science or Analytics

Master’s degree in relevant field

Tools

Python

Spark

SQL

Collibra

Airflow

Job description

Bank of America is seeking a Quantitative Finance Analyst in Charlotte, NC, to lead data-centric AI initiatives within Global Risk Management. The role involves conducting quantitative analytics, managing risk stress testing, and supporting model development. Candidates should have a Bachelor’s in Computer Science or Data Science, with 4+ years of relevant experience. Strong familiarity with data tools such as Python, Spark, and risk management systems is essential. Competitive salary range offered: $89,800 - $153,300 annually, with comprehensive benefits.