Bank of America interview questions

Showing 1–11 of 11 results

• Answer behavioral prompts for quant internshipMedium

  Answer behavioral prompts for quant internship evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  Bank of AmericaData ScientistBehavioral & LeadershipOnline Assessment
• Compute maximum beauty of a stringMedium

  This question evaluates skills in string manipulation, frequency analysis, and optimization of weighted sums, focusing on assigning distinct values to characters to maximize an aggregate metric.

  Bank of AmericaData ScientistCoding & AlgorithmsOnline Assessment
• Convert number words to integerMedium

  This question evaluates textual number parsing, tokenization, and numeric mapping skills, testing string manipulation and lexical interpretation within the Coding & Algorithms domain for a Data Scientist role and emphasizing practical application rather than pure theoretical concepts.

  Bank of AmericaData ScientistCoding & AlgorithmsOnline Assessment
• Describe building a professional relationshipMedium

  This question evaluates interpersonal communication, collaboration, stakeholder management, and leadership competencies through demonstrated relationship-building.

  Bank of AmericaData ScientistBehavioral & LeadershipOnline Assessment
• Describe initiative, project, analysis, and relationship-buildingMedium

  This set of behavioral and leadership questions evaluates initiative, quantitative and technical project execution, complex problem-solving, and relationship-building competencies relevant to a Data Scientist role within the Behavioral & Leadership domain.

  Bank of AmericaData ScientistBehavioral & LeadershipTechnical Screen
• Discuss a Recent Financial-Market TrendMedium

  Tests your ability to formulate and rigorously analyze a recent financial-market trend by decomposing asset value changes versus net organic investor flows, designing econometric hypothesis tests, and evaluating data limitations.

  Bank of AmericaData ScientistAnalytics & ExperimentationTechnical Screen
• Explain coding solution and alternativesMedium

  Explain coding solution and alternatives evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  Bank of AmericaData ScientistCoding & AlgorithmsOnline Assessment
• Explain core probability and ML statistics conceptsMedium

  This question evaluates core probability and machine learning statistics competencies including probability basics, descriptive statistics, correlation versus independence, linear regression and regularization, and dimensionality reduction (PCA), falling under the Machine Learning domain for Data Scientist roles and testing both conceptual understanding and practical application. Such multi-part theory questions are commonly asked to probe understanding of fundamental statistical concepts and modeling assumptions, ensuring the candidate can reason about uncertainty, estimator properties, multicollinearity, and eigenstructure without relying solely on implementation details.

  Bank of AmericaData ScientistMachine LearningTechnical Screen
• Return Cash-Register Change in Named DenominationsEasy

  Implement a cash register function that calculates change in standard currency denominations using integer arithmetic and returns the dispensed items sorted alphabetically.

  Bank of AmericaSoftware EngineerCoding & AlgorithmsOnline Assessment
• Show Initiative, Analytical Judgment, and Relationship BuildingMedium

  This question assesses a candidate's ability to articulate professional narratives that demonstrate self-driven impact, rigorous problem-solving, and interpersonal collaboration skills.

  Bank of AmericaData ScientistBehavioral & LeadershipTechnical Screen
• Showcase initiative and collaboration examplesMedium

  This prompt evaluates initiative, ownership, quantitative rigor, complex problem-solving, and relationship-building within a data scientist role. Commonly asked to gauge leadership, cross-functional impact, and measurable technical outcomes, it is categorized as Behavioral & Leadership in the data science domain and emphasizes practical application of analytical methods alongside conceptual reasoning about trade-offs and collaboration.

  Bank of AmericaData ScientistBehavioral & LeadershipOnline Assessment