Assistant Vice President; Quantitative Finance Analyst

Bank of America•Charlotte, NC

19h•Hybrid

About The Position

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! This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.

Requirements

Bachelor's degree or equivalent in Engineering (any), Computer Science, Computer Information Systems, Management Information Systems, or related: and 5 years of progressively responsible experience in the job offered or a related IT occupation.
Must include 5 years of experience in each of the following: Gathering business requirements, analyzing user needs and working on design documents
Creating complex data models and responsible for the Extraction, Transformation and Loading (ETL) of the raw source data to the data models by cleansing and applying the business logic
Working on Automation using Unix shell scripting and performance tuning of Database and Datawarehouse
Developing, testing, and deploying the code using Agile methodologies
Utilizing scripting languages of SQL, PL/SQL, and Python Scripting and databases of Hadoop, Oracle, Teradata, and DB2.

Nice To Haves

Broad knowledge of financial markets and products.

Responsibilities

Automate new and existing EIT tests from second- and first-line coverage (includes data analysis, data mapping, business rules creation/coding on Python platform, pilot testing, QA and scheduling to production, etc.).
Gather and document test requirements pertaining to test script and data required for testing.
Create automation flow/ write recipes in Python.
Participate in proof-of-concept projects to expand automation capability and explore new innovative tools.
Work in collaboration with FLU and GCOR test owners and perform automation assessment.
Gather business requirements, analyze user needs and work on design documents.
Create complex data models and responsible for the Extraction, Transformation and Loading (ETL) of the raw source data to the data models by cleansing and applying the business logic.
Work on Automation using Unix shell scripting and performance tuning of Database and Datawarehouse.
Develop, test, and deploy the code using Agile methodologies.
Utilize scripting languages of SQL, PL/SQL, and Python Scripting and databases of Hadoop, Oracle, Teradata, and DB2.