Client Quant Analyst Consumer AI Product Management

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:
The Consumer AI Product Management team is seeking a motivated candidate to join as a Client Quantitative this role you will generate actionable insights and identify trends effectively communicate findings to senior leadership and define detailed requirements for complex multigeneration AI use cases developed in a sandbox environment. You will partner closely with leaders across Consumer business teams to surface and refine AI ideas and collaborate with Technology and Analytics/Modeling/Insights (AMI) teams to test interpret and clearly communicate complex results delivering concise and impactful summaries.

Responsibilities:

• Supports the extraction of data using a variety of a programming languages such as SQL SAS Python or Spark/Scala and applies knowledge of relational and non-relational database systems housed on both on-premise and off-premise (hybrid) platforms

• Connects provisioned data across multiple sources and performs necessary transformations utilizing both technical business and process knowledge to transform data into meaningful values and insights

• Performs quantitative techniques and analysis on customer transaction and performance data with the guidance from other analysts and supervisors based on questions provided by business partners and provides actionable insights for business partners to make informed decisions.

• Follows requirements developed by other analysts and supervisors to perform required research analytics and exploration on appropriate and accurate data sources to provide appropriate deliverables

• Communicates complex subjects in a simple and engaging manner to non-technical and technical business partners using software such as Power Point Word Excel and Tableau

• Assists with conducting quality comparison checks on analysis output and escalates data inconsistencies gaps or issues to leadership

• Follows quality workflow process and documentation requirements to adhere to standards and provide business continuity

Required Qualifications:

• Ability to use data tools and techniques to find and deliver data from various sources of record

• Proven communications skills in describing complex data to inform strategic insights and decisions

• Understanding of advanced machine learning methodologies including neural networks graph algorithms Generative AI and other techniques

• Good understanding Agile SDLC with a strong working knowledge of JIRA/ Confluence/ Horizon/ AgileView

• Solid understanding of structured data in relational databases and Hadoop as well as various types of unstructured/semi-structured data

• Bachelors Degree or higher in finance math/statistics computer science or another quantitative field (for example engineering operations management)

• Coursework in finance math/statistics and/or computer science

Desired Qualifications:

• Masters Degree or higher in finance math/statistics computer science or another quantitative field (for example engineering operations management)

• Experience engaging with cross-functional teams and in large multi-organization formal projects

Skills:

• Business Analytics

• Data Mining

• Artificial Intelligence Tools and Prompt Engineering

• Data and Trend Analysis

• Analytical Thinking

• Business Intelligence

• Data Quality Management

• Data Visualization

• Application Development

• Business Acumen

• Continuous Improvement

• Innovative Thinking

• Quality Assurance

Enterprise Description:
This job is responsible for supporting analytical work efforts for various projects within a Line of Business or business discipline. Key responsibilities include leveraging databases to acquire client and performance data transforming extracted data into meaningful insights and trends and delivering those insights to leaders to make complex business decisions. Job expectations include working with business partners to understand coordinate and deliver agreed upon priorities while communicating complex data outputs and delivering the appropriate summary and data required.

Internal employees who are currently working from home are still eligible to apply. However if selected for the role you may be required to work onsite in accordance with the workplace excellence policy.

Shift:

Hours Per Week: