Risk Analysis Specialist III

Job Description:

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!

Job Description:
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.

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

The Data Connections Subject Matter Expert (SME) Lead is responsible for developing deep expertise in business processes, data sources, data flows, and system architecture to enable automated testing that delivers timely, actionable, and risk-focused insights into the operational health of Bank of America processes. The role serves as a key liaison between business, technology, and testing teams to establish scalable data connectivity solutions that support automation, analytics, and continuous monitoring initiatives. Key responsibilities include: 

• Stakeholder Engagement & Data Discovery: Partner with business stakeholders, application managers, and technology teams to understand business processes, data requirements, system architectures, and testing needs, translating these into scalable data connectivity solutions that support automation initiatives.

• Data Connectivity & Automation Enablement: Design, implement, and optimize data connections that enable automated testing, analytics, and monitoring capabilities while leveraging emerging technologies and automation solutions to improve efficiency, scalability, and adoption of new platforms.

• Project Leadership & Continuous Improvement: Lead cross-functional data quality, automation, and connectivity initiatives while driving process simplification, operational excellence, and continuous improvement across the end-to-end data onboarding and management lifecycle.

• Governance, Controls & Performance Management: Ensure data connectivity processes operate in accordance with established governance standards, service level agreements, quality controls, and performance metrics while promoting sustainable, reliable, and compliant solutions.

Required Qualifications:

• Leadership, Ownership & Continuous Improvement

• Demonstrates strong critical thinking and problem-solving skills, with the ability to understand end-to-end business processes, data flows, and technology dependencies.

• Takes ownership of deliverables, effectively prioritizes competing demands, and drives high-quality outcomes in a fast-paced environment.

• Identifies opportunities to improve processes, strengthen controls, and increase operational efficiency through automation, standardization, and continuous improvement.

• Stakeholder Management & Communication

• Strong written, verbal, and presentation skills with the ability to communicate complex technical concepts to technical, business, and executive audiences.

• Builds strong relationships across business and technology teams, effectively influencing stakeholders and driving alignment on priorities and solutions.

• Demonstrates sound judgment, asks insightful questions, and translates complex requirements into clear, actionable recommendations.

• Technical & Data Expertise

• Strong understanding of structured and unstructured data, database concepts, data architectures, and data integration patterns.

• Proficient in SQL and Python, with experience analyzing data, troubleshooting issues, and developing scalable data solutions.

• Experience working with enterprise data platforms and technologies such as Hadoop, Trino, and other large-scale data environments, along with advanced proficiency in Microsoft Excel and PowerPoint.

Required Education & Experience:

• Bachelor’s degrees or above in fields including but not limited to: Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science, Accounting, Business Administration

• 5+ years of relevant work experience 

Skills:

• 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

Shift:

Hours Per Week: