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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
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
Required Qualifications:
- 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
Desired Qualifications:
- Intellectual Curiosity
- Applies critical thinking and connects the dots on how processes relate to one another.
- Demonstrates understanding of and passion for the “why”.
- Looks around the corner, explores uncharted territories with an “outside-in” perspective.
- Life-long learner who not only assertively educates self but encourages others to learn and grow.
- Feels ownership and accountability for delivering high quality work, able to prioritize effectively, adapt, and meet strict deadlines.
- Ability to recommend and implement process control improvements.
- Executive Interaction & Communication
- Strong written, verbal, presentation creation and delivery skills.
- Communications are timely, concise, easy to follow and tailored to topic, audience, and competing priorities.
- Exercises excellent judgment, discerning appropriate moments to challenge or insert point of view.
- Presentations tell a compelling story and influence action.
- Asks the next level of questions, applies context to determine direction.
Technical Qualifications:
- Expert knowledge of complex data architecture, including modeling and data science tools and libraries, data warehouses, and machine learning.
- Expert level coding skills, Excel, and End user interface development
- Managing large data sets utilizing tools such as Hadoop.
- Transforming large datasets to identify patterns and summarize insights.
- Ability to turn data into insights to tell a story; present large amounts of data in a visually insightful way that can be easily digested by an executive audience.
- Experience with large number of different data storage solutions and understanding of efficient usage.
- Mastery of Python and Tableau
- Experience with machine learning
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:
1st shift (United States of America)
Hours Per Week:
40