Risk Analysis Specialist II

Bank of America•Charlotte, NC

21h•Onsite

About The Position

Global Risk Analytics (GRA), a sub-line of business within Global Risk Management, provides quantitative capabilities supporting global risk management and capital management. It develops consistent risk and capital models and analytical tools to support decision-making across the bank. This role analyzes data flows, business processes, and operational controls supporting critical enterprise activities. It applies analytical thinking, process management, risk assessment, and technology capabilities to identify data-quality concerns, process inefficiencies, control gaps, and operational risks. The position supports efforts to improve data integrity, operational effectiveness, and business outcomes, partnering with stakeholders across business, risk, finance, operations, technology, audit, and other functions to support issue resolution, process improvement, and informed decision-making. The role is based at 525 Washington Blvd in Jersey City, New Jersey. The position is scheduled for 40 hours per week, requires no travel, and is eligible for the annual discretionary incentive plan and employee benefits.

Requirements

Bachelor's degree or above in Finance, Accounting, Economics, Business Administration, Information Management, Data Analytics, Statistics, Engineering, or a related field.
Ability to quickly assimilate new concepts, technologies, business processes, and organizational priorities and adapt to changing business needs.
A process-centric mindset for understanding end-to-end workflows, identifying inefficiencies, evaluating controls, and supporting operational improvements.
Analytical, quantitative, and problem-solving abilities to evaluate complex data flows, identify risks, uncover insights, and support data-driven decision-making.
Ability to apply risk management principles and sound judgment to identify, assess, and mitigate operational, process, compliance, and data-related risks.
Ability to use data analytics, SQL, automation, AI, GenAI, process analysis, or related technologies to identify issues, improve decision-making, strengthen controls, and increase operational efficiency.
Strong communication and stakeholder engagement skills, including the ability to work across functions, manage competing priorities, and deliver high-quality results.
Understanding of financial services, banking, risk management, operations, and governance.
Experience operating in environments where data quality, risk management, controls, compliance, and operational resiliency are critical to business performance.
Attention to detail, business intelligence, data and trend analysis, risk analytics, risk management, adaptability, collaboration, continuous improvement, data visualization, project management, business acumen, issue management, regulatory relations, stakeholder management, and technical documentation.

Responsibilities

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 to 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.