Risk Analysis Manager

Bank of America•Jersey City, NJ

2d•$105,000 - $180,000•Onsite

About The Position

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! This job is responsible for leading a team supporting data and technology requests, complex reporting and analysis, and modeling to manage risk and minimize credit and operating losses. Key responsibilities include managing the review and analysis of portfolio trends, directing the development of more complex databases or queries to extract data, and supporting the production of data for internal and external reporting needs. Job expectations include working with Technology to implement changes necessary to support ongoing data needs. Global Risk Analytics (GRA) is a sub-line of business within Global Risk Management (GRM), responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA partners with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA drives innovation, process improvement and automation. Role Overview: The Risk Analysis Manager leads a team of Risk Analysis Specialists responsible for delivering data, analytics, reporting, and insights that inform decision-making and support risk management across the Bank. This role provides leadership, coaching, and oversight to ensure analytical deliverables are accurate, actionable, well-controlled, and aligned to business priorities. The manager partners closely with senior leaders, business partners, technology teams, and risk stakeholders to translate complex data and risk challenges into scalable analytical solutions. The role is also responsible for driving continuous improvement, strengthening governance, and leveraging Bank-approved AI capabilities to enhance productivity, analytical effectiveness, and operational efficiency. Key responsibilities will include: People Leadership & Talent Development: Lead, coach, and develop a team of Risk Analysis Specialists while establishing a high-performance culture focused on quality, accountability, continuous learning, and professional growth. Stakeholder Engagement & Strategic Partnership: Partner with senior leaders, business stakeholders, risk partners, and technology teams to understand priorities, define requirements, and deliver data-driven solutions that support strategic objectives and informed decision-making. Analytics, Reporting & Insights: Oversee the development and delivery of executive reporting, dashboards, analytics, and data-driven insights that identify trends, quantify risk, and provide actionable recommendations to stakeholders. Data Management & Analytical Solutions: Lead the design and implementation of data models, SQL-based solutions, analytical frameworks, and reporting processes that enable scalable, efficient, and accurate analysis across complex data environments. Governance, Risk & Control Management: Promote strong governance and control practices by ensuring analytical processes, documentation, methodologies, and reporting outputs are accurate, sustainable, compliant, and well-controlled. Operational Excellence & Innovation: Drive continuous improvement by identifying opportunities to simplify data structures, automate manual processes, leverage AI-enabled capabilities, and enhance the overall user experience for reporting and analytics consumers.

Requirements

Bachelor’s degree or higher in a relevant field, including but not limited to Data Science, Computer Science, Statistics, Mathematics, Operations Research, Engineering, Finance, Economics, Accounting, or Business Administration.
7+ years of relevant work experience in risk analysis, data analytics, reporting, business intelligence, or related risk management functions.
Proven ability to lead, coach, and develop high-performing teams while creating a culture of accountability, collaboration, and continuous improvement.
Strong workload management skills with the ability to prioritize competing demands, align resources, and deliver results against commitments.
Experience managing performance, driving engagement, and fostering professional development.
Applies critical thinking to connect business processes, controls, data, technology, and risk outcomes to support informed decision-making.
Demonstrates intellectual curiosity and a proactive mindset, continuously seeking opportunities to improve processes, enhance controls, and drive operational excellence.
Exercises sound judgment and effectively balances business priorities, risk considerations, and stakeholder needs.
Strong written, verbal, and presentation skills with the ability to translate complex analytical concepts into clear, actionable business insights.
Builds credibility through fact-based recommendations and effectively influences stakeholders across all levels of the organization.
Develops executive-ready presentations, dashboards, and narratives that drive understanding, alignment, and action.
Advanced SQL and business intelligence expertise, including data extraction, transformation, analysis, and optimization across large and complex datasets.
Advanced Tableau and visualization capabilities with the ability to turn data into meaningful insights and executive reporting.
Strong understanding of data architecture, data quality, governance, lineage, analytical controls, and reporting processes.
Experience managing analytical delivery across multiple data sources, reporting platforms, and stakeholder groups.
Familiarity with Bank-approved AI tools and the responsible use of AI to improve productivity, analysis, automation, documentation, and reporting quality.
Business Intelligence
Data Visualization
Issue Management
Project Management
Risk Management
Business Acumen
Continuous Improvement
Risk Analytics
Stakeholder Management
Technical Documentation
Adaptability
Attention to Detail
Data and Trend Analysis
Performance Management
Regulatory Relations

Responsibilities

Develops, executes, and enhances reporting to allow Risk and business partners to effectively identify and manage risk
Manages the analysis of trends and oversees the data design, portfolio trends, loss trends, and portfolio dynamics to ensure alignment with business strategies
Serves as a liaison between the data, technology, and reporting teams in support of strategic initiatives affecting multiple Risk functions and lines of business to ensure company goals are met
Manages database production processes and performance reports for senior management, using data mining and other advanced analytical techniques to aggregate data
Responds to complex ad-hoc requests for information from both internal and external parties
Leads cross-functional strategic efforts to remediate data quality issues
Provides oversight of relevant systems and assures controls are operating effectively by monitoring outputs
Models an inclusive environment for employees and clients, aligned to company Great Place to Work goals.
Demonstrates deep process knowledge, operational excellence and innovation through a focus on simplicity, data based decision making and continuous improvement.
Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities and contributions.
Ensures proper risk discipline, controls and culture are in place to identify, escalate and debate issues.
Provides inspection, coaching and feedback to motivate, differentiate and improve performance.
Actively manages expenses and budgets in alignment with objectives, making sound financial decisions.
Assesses talent and builds bench strength for roles across the organization.
Delivers results by effectively prioritizing, inspecting and appropriately delegating team work.
Lead, coach, and develop a team of Risk Analysis Specialists while establishing a high-performance culture focused on quality, accountability, continuous learning, and professional growth.
Partner with senior leaders, business stakeholders, risk partners, and technology teams to understand priorities, define requirements, and deliver data-driven solutions that support strategic objectives and informed decision-making.
Oversee the development and delivery of executive reporting, dashboards, analytics, and data-driven insights that identify trends, quantify risk, and provide actionable recommendations to stakeholders.
Lead the design and implementation of data models, SQL-based solutions, analytical frameworks, and reporting processes that enable scalable, efficient, and accurate analysis across complex data environments.
Promote strong governance and control practices by ensuring analytical processes, documentation, methodologies, and reporting outputs are accurate, sustainable, compliant, and well-controlled.
Drive continuous improvement by identifying opportunities to simplify data structures, automate manual processes, leverage AI-enabled capabilities, and enhance the overall user experience for reporting and analytics consumers.