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About the Role
This role involves analyzing and interpreting large datasets to uncover revenue generation opportunities and develop risk management strategies. You will collaborate with stakeholders, utilize data analysis techniques, and present findings. The role requires flexibility, resilience, accountability, a disciplined approach, and a commitment to responsible growth.
Responsibilities
- Performs business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to support decision-making.
- Applies agile practices for project management, solution development, deployment, and maintenance.
- Creates and maintains technical documentation, capturing business requirements and specifications.
- Manages multiple priorities and maintains quality and timeliness of work deliverables.
- Delivers engaging presentations and communicates technical concepts to diverse stakeholders.
- Mitigates risk by identifying potential issues and developing controls.
- Researches the latest advances in data science and artificial intelligence to support business analytics.
- Contributes to the continued development and maintenance of the THOR information product.
- Builds working knowledge of THOR database structures, data sources, value-added attributes, and production processes.
- Develops an understanding of the distributions, patterns, and data nuances within THOR data.
- Supports the analysis and evaluation of proposed product enhancements for production releases.
- Applies quality-control practices and maintains attention to detail throughout analysis, development, testing, documentation, and post-production validation.
- Investigates data anomalies and communicates findings, questions, risks, and potential opportunities.
- Evaluates alternative approaches for transaction categorization and other THOR value-added attributes.
- Supports ad hoc analytical requests, user documentation, training materials, and informational presentations.
- Collaborates with team members and cross-functional partners to complete assigned deliverables and resolve data or development issues.
Requirements
- 2-5 years of experience with data science/feature engineering/data engineering.
- Strong programming skills in SQL/SAS along with experience working with Teradata table structures.
- Familiarity with statistical and non-statistical analytical techniques.
- Experience with research methodology/design of experiments.
- Ability to work with incomplete/ambiguous information, organize available facts, and discern subtle patterns.
- Ability to integrate diverse information sources, tools and techniques into production processes.
- Understanding of BofA Products, Policies, Procedures, and Guidelines.
- Ability to collaborate effectively within and between cross-functional teams.
- Awareness of the US marketplace and interest in major industries, consumer brands and financial transaction trends.
Skills
- Data Analysis
- Data Cleansing
- Data Quality and Validation
- Agile Practices
- Technical Documentation
- Written Communications
- Research and Analytical Methods
- Data management
- Data Visualization
- Presentation Skills
- Risk Awareness
- Adaptability
- Problem Solving
- Attention to detail
- Curiosity about data patterns and anomalies
- Collaboration
- Artificial Intelligence/Machine Learning
- Risk Management
Location
- United States of America
Work Type
- Onsite
- Full-time
Experience Level
- 2-5 years
Education Level
- Bachelor’s degree in Math, Economics, Statistics, Engineering, Finance, Computer Science or similar discipline or related work experience is preferred
Benefits
- Affordable, competitive and flexible benefits
About the Company
- At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection.
- 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.
- We value the unique perspectives individuals bring from all backgrounds and career paths.
- Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development.
- 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 and analytical tools for effective risk and capital measurement, management and reporting across the bank.
- Data Science for Technology, Risk, and Operations (DSTRO) enables the Bank's responsible adoption of Artificial Intelligence (AI) through governance, model oversight, model development, and enterprise data engineering.
- The THOR Data Engineering team develops and maintains key financial transaction Enterprise Information Products (EIPs).