Wells Fargo interview questions

Showing 1–13 of 13 results

• Build Spring Boot POST, PUT, and GET EndpointsMedium

  Design and implement RESTful endpoints in Spring Boot for an account resource, covering controller annotations, validation, HTTP status codes, error handling, and MockMvc tests.

  Wells FargoSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
• Choose LLMs for Software Engineering TasksMedium

  Design an evaluation, privacy, and integration framework to select and verify Large Language Models for enterprise software engineering tasks.

  Wells FargoSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
• Core Components of an LLM-Based AI Agent and How They InteractHard

  An open question about AI agents asks you to name the components of an agent built around a language model, explain what each one does, and show how they work together to complete a multi-step task. It tests understanding of tools, memory, planning, control loops, guardrails and evaluation.

  Wells FargoData ScientistMachine LearningTechnical Screen
• Design Cursor Pagination for a Large DatasetMedium

  This problem tests the ability to design a performant, stable pagination system for large datasets using cursor-based navigation instead of offset-based pagination.

  Wells FargoSoftware EngineerSystem DesignTechnical Screen
• Design Excel visuals for risk resultsMedium

  Design Excel visuals for risk results evaluates metric design, causal reasoning, experiment setup, diagnostics, SQL/statistical checks, and recommendations in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  Wells FargoData ScientistAnalytics & ExperimentationTechnical Screen
• Ensure model ethics and governanceMedium

  Ensure model ethics and governance 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.

  Wells FargoData ScientistBehavioral & LeadershipTechnical Screen
• Explain PD model validation stepsMedium

  Explain PD model validation steps evaluates core ML concepts, assumptions, math intuition, training/evaluation trade-offs, and practical failure modes in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  Wells FargoData ScientistMachine LearningTechnical Screen
• Getting Unblocked When Your Tech Lead Won't HelpMedium

  This question evaluates your problem-solving maturity, ability to manage dependencies, and communication skills when facing roadblocks caused by unresponsive stakeholders.

  Wells FargoSoftware EngineerBehavioral & LeadershipTechnical Screen
• Java, Spring & Kafka Fundamentals Deep-DiveMedium

  Tests practical knowledge of Java concurrency and memory visibility, Kafka at-least-once delivery and idempotency patterns, and Spring Security context propagation across asynchronous thread boundaries.

  Wells FargoSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
• Organizing Code and Repositories: Functions, Classes, Comments, GitHub FilesHard

  A software practice question asks how you organize code into functions, classes and files, how and when you write comments, and which files a GitHub repository should and should not contain. It tests modular design judgment, documentation habits, and reproducible, secure project hygiene.

  Wells FargoData ScientistSoftware Engineering FundamentalsTechnical Screen
• Reason About Kafka Consumers and PartitionsMedium

  This question tests your understanding of Kafka's consumer group protocol, partition assignment logic, and the mechanics of horizontal scaling in distributed message queues.

  Wells FargoSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
• Research Deep Dive: Model Details, Coding Habits and Diffusion ArchitectureHard

  A research deep dive asks you to present a project under repeated follow-ups about the exact model you used and your coding habits, then explain how a diffusion model is built, trained and sampled. It tests ownership of your work, depth under probing, and command of noising, denoising networks and conditioning.

  Wells FargoData ScientistMachine LearningTechnical Screen
• Write SQL for rolling default ratesMedium

  This question evaluates proficiency with SQL window functions and time-series aggregation, specifically the ability to compute rolling metrics across customer segments by aggregating defaults and accounts over a moving 12-month window.

  Wells FargoData ScientistData Manipulation (SQL/Python)Technical Screen