Risk Analysis Specialist II

Bank of America•Charlotte, NC

1d•Onsite

About The Position

The Global Risk Analytics (GRA) team is part of Global Risk Management (GRM) and provides quantitative capabilities supporting global risk and capital management. It develops risk and capital models and analytical tools that 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 improvements to data integrity, operational effectiveness, and business outcomes, partnering with stakeholders across business, risk, finance, operations, technology, audit, and other functions to resolve issues and inform decisions. The role is based at 525 Washington Blvd, Jersey City, New Jersey. The position is first shift and is associated with 40 hours per week. Bank of America describes its culture as supporting collaboration, engagement, and career development through an in-office approach with flexibility based on role responsibilities and business needs.

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.
Process-centric approach to understanding end-to-end workflows, identifying inefficiencies, evaluating controls, and supporting operational improvements.
Analytical, quantitative, and problem-solving skills to evaluate complex data flows, identify risks, uncover insights, and support data-driven decisions.
Ability to apply risk management principles and sound judgment to identify, assess, and mitigate operational, process, compliance, and data-related risks.
Experience or capability using data analytics, SQL, automation, AI, GenAI, process analysis, or related technologies to identify issues, improve decisions, strengthen controls, and increase operational efficiency.
Strong communication and stakeholder engagement skills, including working across functions, managing competing priorities, and delivering 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.
Skills listed: 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 accuracy, completeness, and effectiveness.
Partner with stakeholders across business, risk, finance, operations, technology, and audit functions to support process evaluations, issue resolution, and improvement initiatives.
Use 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.