Risk Analysis Specialist III

Bank of America•Jersey City, NJ

2d•$114,500 - $174,800•Onsite

About The Position

This job is responsible for performing analytical requests, reporting and analysis, and assisting with modeling activities to help manage risk and minimize credit and operating losses. Key responsibilities include overseeing portfolio trends, developing data sets or queries to extract data, and supporting the production of internal and external reporting needs. Job expectations include effectively driving information and insights which have significantly impact regulatory, financial accountability, and directly impact to business policies and goals. 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. This role is responsible for leading the analysis and evaluation of complex data flows and business processes supporting critical enterprise activities. As a senior individual contributor and subject matter expert, the position leverages data analytics, process management, risk assessment, and technology capabilities to identify process weaknesses, data quality concerns, and operational risks, and to recommend strategies that improve the completeness, accuracy, timeliness, and effectiveness of business outcomes. The role partners closely with stakeholders across business, risk, finance, operations, technology, and audit to strengthen process performance and drive sustainable improvements.

Requirements

Bachelor's degree or above in Finance, Accounting, Economics, Business Administration, Information Management, Data Analytics, Statistics, Engineering, or related field
Learning Agility: Quickly assimilates new concepts, technologies, business processes, and regulatory requirements while adapting effectively to changing priorities and environments.
Process Excellence: Applies a process-centric mindset to understand end-to-end workflows, identify inefficiencies, evaluate controls, and drive operational improvements.
Data & Analytical Thinking: Leverages analytical, quantitative, and problem-solving techniques to evaluate data flows, identify trends and risks, and develop actionable insights that improve business outcomes.
Risk & Controls Mindset: Applies risk-based thinking to identify, assess, and mitigate operational, process, and data-related risks while balancing business objectives.
Technology & Innovation: Utilizes technology, automation, analytics, AI, and data-driven solutions to improve efficiency, strengthen business processes, and enhance performance.
Stakeholder Management: Builds strong partnerships across functions and influences stakeholders through collaboration, credibility, and shared accountability.
Communication & Executive Presence: Strong relationship management, communication, stakeholder engagement, and problem-solving skills with the ability to work effectively across multiple business functions.
Business & Financial Acumen: Demonstrates understanding of financial services, banking, risk management, operations and governance.
Regulated Environment Experience: Experience operating in environments where data quality, risk management, controls, compliance, and operational resiliency are critical to business performance.
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 and executes reporting to allow risk and business partners to effectively identify and manage risk in an effective manner
Identifies trends and manages the data design, portfolio trends, loss trends, and portfolio dynamics to ensure alignment with business strategies
Participates in various product strategic initiatives affecting multiple risk functions and lines of business to ensure company goals are met
Facilitates the development of 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
Coordinates cross-functional efforts to remediate data quality issues
Manages the outputs of controls and investigates alerts from the control checks
Own and drive complex analyses of business processes, data flows, and operational controls to identify data integrity concerns, process defects, risks, and improvement opportunities, recommending strategies that enhance the completeness, accuracy, validity, and timeliness of critical business processes.
Partner with stakeholders across business, risk, finance, operations, technology, and audit functions to evaluate process performance, resolve complex issues, and drive sustainable improvements.
Leverage data analytics, automation, AI-enabled tools, and quantitative methodologies to identify trends, risks, and opportunities that improve operational efficiency and process effectiveness.
Develop and deliver insights, reporting, and visualizations that communicate process performance, business risks, and improvement opportunities to stakeholders and leadership.
Serve as a subject matter expert, providing technical guidance and mentorship to teammates in support of governance, issue remediation, and continuous improvement initiatives.