Risk Analysis Specialist II

Bank of America•Jersey City, NJ

2d•$72,000 - $130,700•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 and develops risk and capital models and analytical tools to support decision-making across the bank. The Risk Analysis Specialist II analyzes data flows, business processes, and operational controls that support critical enterprise activities. The role applies analytical thinking, process management, risk assessment, and technology capabilities to identify data quality concerns, process inefficiencies, control gaps, and operational risks, while supporting improvements in data integrity, operational effectiveness, and business outcomes. The specialist partners with stakeholders across business, risk, finance, operations, technology, audit, and other functions to support issue resolution, process improvement, and informed decision-making. The position is based at 525 Washington Blvd in Jersey City, New Jersey, and is designated as first shift with a 40-hour workweek. The stated annualized salary range is $72,000 to $130,700, with offers based on experience, education, and skill set. The role is eligible for an annual discretionary incentive plan and benefits, including paid time off.

Requirements

Bachelor's degree or above in Finance, Accounting, Economics, Business Administration, Information Management, Data Analytics, Statistics, Engineering, or a related field.
Quickly assimilate new concepts, technologies, business processes, and organizational priorities, and adapt to changing business needs.
Apply a process-centric mindset to understand end-to-end workflows, identify inefficiencies, evaluate controls, and support operational improvements.
Use analytical, quantitative, and problem-solving techniques to evaluate complex data flows, identify risks, uncover insights, and support data-driven decision-making.
Apply risk management principles and sound judgment to identify, assess, and mitigate operational, process, compliance, and data-related risks.
Utilize data analytics, SQL, automation, AI, GenAI, process analysis, or related technologies to identify issues, improve decision-making, strengthen controls, and increase operational efficiency.
Communicate effectively and engage stakeholders across functions, manage competing priorities, and deliver high-quality results.
Demonstrate understanding of financial services, banking, risk management, operations, and governance.
Have experience operating in environments where data quality, risk management, controls, compliance, and operational resiliency are critical to business performance.
Demonstrate 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 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.