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. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.
One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.
Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.
Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!
Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub-lines of business within Global Risk Management (GRM). Collectively, they are 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 and EIT partner 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 and EIT drive innovation, process improvement and automation.
The EIT Sample Execution and Production Support team consists of a high-volume production process where automated and manual data files are generated and delivered to enable testing and serves as the primary point of contact for both technical and non-technical operational issues. They assist in test optimization and automation efforts, while also monitoring infrastructure health and performance with a strong emphasis on proactively preventing failures.
As a Sample Execution Analyst, main responsibilities include:
- Partnering with Test Development and Data teams to ensure appropriate test design or sampling requirements are incorporated into the Test Plans.
- Accessing pertinent databases or acquiring raw data from third party sources to generate required data for testing. Larger quantities of data may need managed, manipulated, and summarized to generate the data files.
- Transmitting data required for testing by executing data provisioning and sampling procedures.
- Publishing data files to the designed storage location for document retention and reperformance.
- Ensuring adherence to the SLA (Service Level Agreements) – productivity and accuracy.
- Identifying potential areas for process improvement and/or automation.
- Working cross-functionally to effectively execute the business goals.
Required Education & Experience:
- Bachelor’s degrees or equivalent experience in Math, Economics, Statistics, Engineering, Finance, Computer Science or similar discipline
- 2+ years of relevant work experience interrogating and working with large datasets
Required Skills:
- Intellectual Curiosity & Aptitude
- Applies critical thinking and connects the dots on how processes relate to one another.
- Demonstrates understanding of and passion for the “why.”
- 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.
- Able to handle multiple deliverables simultaneously while being flexible and responsive to changing environments.
Executive Interaction & Communication:
- Strong written, verbal 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.
- Asks the next level of questions, applies context to determine direction.
Technical Skills:
- Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principles
- Proficient knowledge of data warehouse and mining concepts and baseline understanding of SAS/SQL query language and syntax
- Deep understanding of databases and table structures
- Proficient in Microsoft PowerPoint and Excel with an emphasis on Excel to perform data analytics, pivot tables, lookups and data analytics
Shift:
1st shift (United States of America)
Hours Per Week:
40
