Client Quantitative Analyst I - Analytics Transformation

Bank of America•Charlotte, NY

20h•Onsite

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 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. In this role, the analyst will be responsible for the data product development life cycle from intake to design to implementation. This includes but is not limited to: Creating Data Products: Engineering, developing, and certifying data products to be automated and published for broad consumption Documenting Data Products: Partnering with the Enablement and Governance function to ensure the appropriate process, oversight, tools, and methods are applied when building these data products Creating the Contextual Layer: Partnering with Subject Matter Experts to establish and develop the semantics (definitions, rules, business logic) required to curate context for our business users and make the data products ready for AI and BI Re-imagining Analytics: Experimenting and evolving how we apply AI in our analytical techniques and outputs to develop standards, guardrails, best practices and playbooks for how we work going forward. This may include engagement in technology, tool, technique and process evaluations Proactive Insight Generation: Leveraging best-in-class tools, data and analytical capabilities to translate complex concepts and generate actionable insights. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. 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.

Requirements

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
Coursework in finance, math/statistics and/or computer science
Demonstrated experience as an innovative thinker, self-starter, and creative problem solver. Is intellectually curious, and challenges status quo
Ability to adapt well, learn quickly, and experiment with a variety of techniques, tools, and methodologies.
Displays technical and analytical aptitude necessary to perform data analysis, trending, and other statistical techniques
Should be well-versed in a variety of programming languages and techniques (e.g. Python/SAS, SQL, Data frame manipulation and familiarity with Machine Learning Frameworks)
Demonstrates crisp communication skill sets and ability to communicate complex concepts for all audiences, with exposure in storytelling and presentation-development for all levels of the organization

Nice To Haves

Master’s Degree or higher in finance, math/statistics, computer science or another quantitative field (for example, engineering, operations management)
Bachelor’s Degree or higher in finance, math/statistics, computer science or another quantitative field (for example, engineering, operations management)
Experience with Statistical Modeling and Machine Learning techniques
SharePoint, MS Office (Excel, PowerPoint), Agile Tools (JIRA, Confluence etc)
Experience with Java, Spark/Scala via command line, Python or other software applications
Project planning experience, including project scoping, timing needs, and reporting
Ability to understand and implement techniques discussed in machine learning research papers

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