Assistant Vice President; Quantitative Finance Analyst

Posted 2 Days Ago
Be an Early Applicant
Charlotte, NC, USA
In-Office
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services • Data Privacy
The Role
The role involves conducting quantitative analytics, developing and automating models, and collaborating with technology to optimize data processes. Responsibilities include data analysis, ETL processes, automation scripting, and utilizing financial market knowledge.
Summary Generated by Built In

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 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.

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.
  • Remote work may be permitted within a commutable distance from the worksite.

Required Skills & Experience:

  • 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; and,
  • Utilizing scripting languages of SQL, PL/SQL, and Python Scripting and databases of Hadoop, Oracle, Teradata, and DB2.

If interested apply online at www.bankofamerica.com/careers or email your resume to [email protected] and reference the job title of the role and requisition number.

EMPLOYER:       Bank of America N.A.

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Bank of America Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bank of America and has not been reviewed or approved by Bank of America.

  • Fair & Transparent Compensation Pay practices are framed as structured and backed by regular pay-equity analysis, which creates a sense of consistency even when higher pay is desired.
  • Pay Growth & Progression A high U.S. hourly pay floor of $25/hour is positioned as a meaningful baseline for frontline and support roles, improving perceived competitiveness at the lower end.
  • Parental & Family Support Parental leave, family-planning reimbursement, backup care, and “Life Event Services” are presented as substantial supports that strengthen the overall rewards package.

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The Company
HQ: Charlotte, NC
208,000 Employees
Year Founded: 1784

What We Do

We make financial lives better for our clients and our communities through the power of every connection. Our employees are at the heart of this purpose, and are key to driving responsible growth. Every day, across the globe, our employees bring a commitment to our purpose and to driving responsible growth by living our values: deliver together, act responsibly, realize the power of our people and trust the team. A key aspect of driving responsible growth is doing so in a sustainable manner, a critical pillar of which is being a great place to work for our teammates.

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