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 supporting data and technology requests, complex reporting and analysis, and modeling to manage risk and minimize credit and operating losses. Key responsibilities include reviewing and analyzing portfolio trends, supporting 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.
Responsibilities:
- Supports the development and execution of reporting to allow Risk and business partners to effectively identify and manage risk
- Analyzes trends and supports the data design, portfolio trends, loss trends, and portfolio dynamics to ensure alignment with business strategies
- Provides analytical support on various product strategic initiatives affecting multiple Risk functions and lines of business to ensure company goals are met
- Participates in the development of database production processes and performance reports for senior management, using data mining and other advanced analytical techniques to aggregate data
- Supports with responding to complex ad-hoc requests for information from both internal and external parties
- Provides support on cross-functional efforts to remediate data quality issues
- Monitors the outputs of controls and investigates alerts from the control checks
Required Qualifications:
- Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, Information Systems, or a related field.
- 3+ years of experience in Risk Analytics, Risk Reporting, Decision Science, Credit Risk, Operational Risk, or a related analytical function.
- Advanced SQL skills with the ability to query and manipulate large relational databases.
- Experience with PowerCurve, Experian Decision Analytics, or comparable decision strategy platforms.
- Proficiency in Tableau for dashboard development and analytical reporting.
- Strong experience in report validation, data reconciliation, data quality testing, and controls.
- Experience performing UAT, parallel testing, or production validation activities.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent verbal and written communication skills.
- Demonstrated attention to detail and commitment to data accuracy.
Desired Qualifications:
- Experience in Consumer Lending, Mortgage, Credit Card, or Enterprise Risk functions.
- Knowledge of decision strategies, and automated underwriting systems.
- Familiarity with Python, SAS, R, or advanced analytics tools.
- Experience working in Agile project environments.
- Knowledge of regulatory expectations related to model governance, data governance, and risk management.
Skills:
- 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
- Technical Documentation
Shift:
1st shift (United States of America)Hours Per Week:
40