Risk Analysis Specialist II

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth.

We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences.

These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact.

Join us!

Global Risk Analytics (GRA) is a sub-line of business within Global Risk Management (GRM). The GRA team provides quantitative capabilities supporting global risk management and capital management and develops a consistent set of risk and capital models and analytical tools that support decision making across the bank.

This role is responsible for analyzing data flows, business processes, and operational controls supporting critical enterprise activities. The position applies analytical thinking, process management, risk assessment, and technology capabilities to identify data quality concerns, process inefficiencies, control gaps, and operational risks while supporting efforts to improve data integrity, operational effectiveness, and business outcomes. The role partners with stakeholders across business, risk, finance, operations, technology, audit, and other functions to support issue resolution, process improvement, and informed decision-making.

• Evaluate business processes, data flows, and operational data to identify data integrity and quality concerns, trends, anomalies, risks, and opportunities to improve the accuracy, completeness, and effectiveness of critical business processes and outcomes.
• Partner with stakeholders across business, risk, finance, operations, technology, and audit functions to support process evaluations, issue resolution, and improvement initiatives.
• Leverage data analytics, reporting, automation, AI-enabled tools, and quantitative techniques to identify trends, communicate insights, and improve business outcomes.
• Develop reporting, dashboards, and visualizations that communicate performance metrics, risks, trends, and opportunities to stakeholders.
• Support governance, risk management, and continuous improvement initiatives that strengthen controls, enhance process resiliency, and increase operational effectiveness.

• Learning Agility:
  Quickly assimilates new concepts, technologies, business processes, and organizational priorities while adapting effectively to changing business needs.
• Process Excellence:
  Applies a process-centric mindset to understand end-to-end workflows, identify inefficiencies, evaluate controls, and support operational improvements.
• Data & Analytical Thinking:
  Leverages analytical, quantitative, and problem-solving techniques to evaluate complex data flows, identify risks, uncover insights, and support data-driven decision-making.
• Risk & Controls Mindset:
  Applies risk management principles and sound judgment to identify, assess, and mitigate operational, process, compliance, and data-related risks.
• Technology & Innovation:
  Utilizes data analytics, SQL, automation, AI, GenAI, process analysis, or related technologies to identify issues, improve decision‑making, strengthen controls, and increase operational efficiency.
• Stakeholder Management & Communication:
  Strong communication, and stakeholder engagement skills with the ability to work effectively across…