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: 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 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 Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details US - MA - Boston - 100 Federal St - 100 Federal St Lp (MA5100), US - NY - New York - 115 W 42nd St - BANK OF AMERICA TOWER AT ONE BRYANT PARK (NY5362) Pay and benefits information Pay range $84,200.00 - $124,000.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. Benefits This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve. Bank of America is committed to help employees through the transition period when they’re displaced as a result of a workforce reduction, realignment or similar measure. Please review the resume writing and interviewing tips provided below to help prepare you for your next career opportunity. Getting started Regardless of the position you are interested in, the starting points to building your resume are the same: 1. Determine the job or types of jobs you want to do and research their responsibilities and qualifications. 2. Think about why you can do the job and make a list of your skills that are relative to the job. 3. Identify experiences or accomplishments that show your proficiency in the skills required for the job. 4. Summarize your abilities, accomplishments and skills into a brief, concise document. Considerations when writing a resume • Do be brief. Resumes should be 1-2 pages in length. • Do be upbeat and active in your wording. • Do emphasize what you have done clearly and concretely. • Do be neat and well organized. • Do have others proofread and critique your resume. Spell check. Make it error free. • Do use high quality, white or light colored 8½ x 11 paper. Use a laser printer if possible. • Don't be dishonest, always tell the truth about yourself in the most flattering light. • Don't include salary history or requirements. • Don't include references. • Don't include accomplishments that do not support your professional goals. • Don't include anything that isn't relevant. (For example, don't mention your fondness for swimming unless you want to work on the water.) • Don't use italics, underlining, shadows or other fancy treatments. Seven steps to a successful interview 1. Anticipate –Put yourself in the interviewer's position. What do you believe the interviewer is most interested in? Why do you think you have been invited to interview? 2. Research –What are the primary functions of the line of business? What are the success factors for the job? Is there a job description available? 3. Assess –Think about your skills, abilities, knowledge, interests, traits, values and accomplishments. Match them to what you know about the job. Consider which ones you should highlight. 4. Prepare Answers –Think about what the interviewer may ask, determine what the best answer is and write it down. 5. Prepare Questions – Interviewing is a two-way street. By asking thoughtful questions, you communicate your interest and learn a lot about the job. Choose two or three questions to ask your interviewer. Avoid asking a lot of questions about vacation time or breaks. 6. Practice – It may seem awkward, but it is the best way to come across well in an interview. Practice your own "great responses" with others or in front of a mirror until you appear relaxed and at ease. 7. Follow-up – Send a brief follow-up letter to the interviewer. Keep in mind that the many job searchers will not send a follow-up letter. Sending one can become a competitive advantage. Pay Transparency - Privacy Statement -