Client Quantitative Analyst I Analytics Transformation

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 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

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
• 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

Desired Qualifications:

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

Skills:

• Business Analytics
• Data Mining
• Data and Trend Analysis
• Analytical Thinking
• Business Intelligence
• Data Quality Management
• Data Visualization
• Application Development
• Business Acumen
• Continuous Improvement
• Innovative Thinking
• Quality Assurance

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