Senior Data Scientist - Enterprise Credit

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 coordinating, reviewing, and optimizing data analysis to create revenue generating opportunities, and overseeing the development of effective risk management strategies. Key responsibilities include working with lines of business to identify and diagnose problems, utilizing sophisticated analytics, and deploying advanced techniques to devise solutions, and clearly communicating recommendations based on findings. Job expectations include demonstrating leadership, influence, accountability, and a commitment to fostering responsible growth for the enterprise. This job is responsible for driving accurate, complete, and timely delivery of data. Key responsibilities include working with business stakeholders and technology teams to direct data management activities and ensure availability for use by appropriate consumers. Job expectations include managing execution within the Enterprise data management standards, data quality, and control practices. The Data Initiative & Strategy (DIS) team, within Enterprise Credit Analytics & Transformation Strategy (ECATS), is responsible for delivering high-quality, fit-for-use data and information that supports Global Banking and Enterprise Credit objectives. DIS defines and enhances Enterprise Credit data processes, including platforms, reporting, governance, data management, and data remediation. This Senior Data Scientist role supports the DIS team with a primary focus on model data development, production support and operational continuity. The role is responsible for executing and maintaining established data processes, ensuring consistent, accurate, and timely delivery of data used in regulatory, risk, and business activities. The role supports adherence to Enterprise data quality standards, and identifies issues across data capture, transport, and use, contributing to stable and controlled data environments. In addition, the role contributes to the development of value-added analytics and solutions that support revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research. The role will interact with and provide direction to supporting Technology teams to ensure alignment with data and process requirements. A strong understanding of Enterprise Credit processes, organizations, data, and systems is required. Traditional systems analysis skills are a plus. Responsibilities: Coordinates and reviews data collection, trend identification, and pattern recognition, using advanced techniques to drive decision making and identification of data driven insights Contributes to the adoption of enterprise information products through communicating in a clear manner how enterprise information products answer material banking questions leading to decisions and actions Applies agile practices for project management, solution development, deployment, and maintenance Provides oversight and support of technical documentation, capturing the business requirements, and specifications related to the developed analytical solution, and implementation in production Reviews work products to ensure adequate quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment Mitigates risk by identifying potential issues and developing controls Possesses deep knowledge and subject-matter expertise of the latest advances in the fields of data science and artificial intelligence to support business analytics Works with Line of Business partners, including Compliance, Audit, and Risk to understand needs and produce data solutions, often times in partnership with Technology Analyzes emerging needs for data to address risk, regulatory, or business enablement priorities and appropriately plans for interim and target state solutions within data management policies Required Qualifications: Strong experience in data management, including, data quality, metadata management, data governance) Highly organized with the ability to manage and prioritize multiple efforts in a fast-paced, regulatory driven environment Experience with credit-related processes and systems, including the distribution and use of credit data for analytics, modeling, and reporting Self-motivated and proactive, with a demonstrated ability to take ownership and execute with limited oversight Experience working with senior business stakeholders and quantitative modelers, with the ability to communicate effectively across audiences. Strong analytical and critical thinking skills, with the ability to assess problems and identify both tactical and strategic solutions 6+ years of data analysis experience, including working with large, complex datasets Proficiency with Microsoft Office tools, including, Excel, PowerPoint, and Visio Strong understanding of data relationships Excellent verbal and written communication skills. Developing an executive presence. General knowledge of bank financial practices and policies Desired Qualifications: Degree in business, computer science or related discipline In-depth experience with commercial loan products and functions; familiarity with Commercial Credit policies and procedures Familiarity with Global Banking systems Project management and/or process design experience Knowledge of python/pandas, R, Alteryx, Trifacts or other data preparation environment a plus Skills: Business Acumen Presentation Skills Data Visualization Data Management Data Modeling Data Quality Management Reporting Data Governance Product Management Project Management Metadata Management Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100) Pay and benefits information Pay range $125,000.00 - $225,000.00 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 -