Neuberger Berman interview process & guide 2026
Everything we know about interviewing at Neuberger Berman: the process stage by stage, what each round tests, and compensation by level.
- 1Application review and initial screening
- 2Phone screen(s) and recruiter/hiring manager alignment
- 3Technical assessments and technical interviews
- 4Case studies, behavioral questions, and writing tasks
- 5In-person and final interviews
Interviewing at Neuberger Berman
You should expect a multi-step loop that mixes recruiter and HR screening, technical assessments, and multiple interviewers. In-person interviews are reported by multiple roles, and candidates can face several interviews with HR, hiring managers, and team members to evaluate both technical skills and cultural fit.
Across the roles we have guides for, the most prominent technical topics are Python, SQL, and data querying. You may also be tested on data structures and algorithms, machine learning and a data sustainability domain, plus role-specific technical areas that appear in the topic data such as Embedded C, GAAP/accounting standards, and account data management.
Your preparation needs to cover more than coding. The topic data is heavy on behavioral interviewing and project management, plus technical project management, technical writing, and case studies, which suggests you will be asked to connect execution, decision-making, and communication while also solving technical problems.
The topic mix is unusually dense on both execution and communication, with project management, technical project management, and technical writing all appearing at the highest prominence levels alongside core data skills like Python, SQL, and machine learning.
How hard is the Neuberger Berman interview?
Aggregated from 232 interview experiencesAbout 1 in 3 candidates with a known outcome convert.
The interview process, end to end
5 rounds · based on 232 candidate reports- 1Application review and initial screening
You start with an initial screening that can involve review of applications and preliminary assessment. Candidates report phone-based screening by recruiters or HR to assess background, qualifications, and fit for the role.
- 2Phone screen(s) and recruiter/hiring manager alignment
Some roles report an initial phone screen as a distinct step, focusing on experience and fit. Depending on the role, this may explicitly assess fit for an AI Engineer role.
- 3Technical assessments and technical interviews
You may encounter one or more technical assessments, including coding challenges or other technical evaluations. You can also have one or more technical interviews with team members or senior analysts that focus on technical skills relevant to the role.
- 4Case studies, behavioral questions, and writing tasks
Some candidates report case studies that test analytical and problem-solving ability, plus behavioral questions to assess interpersonal skills and cultural fit. A writing assessment may also be included, requiring technical documentation or writing-style responses.
- 5In-person and final interviews
Final interviews and several interviews with HR, hiring managers, and team members are reported as in-person, focusing on both technical skills and cultural fit. Final interviews may consolidate prior assessments and determine fit.
What Neuberger Berman actually tests for
How prominent each skill is across reported loopsFind the guide for your role
This is your next step: open the guide for the role you are interviewing for. Each one carries the questions Neuberger Berman interviewers actually ask that position, the loop structure, and pay by level.
What Neuberger Berman pays, by level
Estimated total compensation: base salary plus stock and annual cash bonus.
What separates offers from rejections
Patterns from candidates who got offers, and the mistakes that most often sink a loop.
Do this
- Prepare to explain your approach to technical work in structured terms, since behavioral interviewing and data-driven decision-making are explicitly listed as topics and process elements. Practice a clear narrative from problem to decision to outcome.
- Be ready for hands-on technical evaluation, including possible coding challenges and other technical assessments. Focus on Python and SQL competence first, then data structures and algorithms.
- If you are applying to a role where the topic data includes domain or systems areas, align your examples to what is listed, such as machine learning plus data sustainability domain knowledge, or accounting standards and account data management.
- Practice writing or documentation-style responses if you have experience communicating technical details. Technical writing is explicitly present in the topic data, and some candidates report a writing assessment.
Avoid this
- Do not treat this as only a behavioral loop or only a coding loop. The process includes technical assessments and interviews plus behavioral and cultural fit evaluation.
- Do not ignore project management and technical project management topics. These appear at the maximum prominence in the topic data, so be ready to demonstrate how you plan, execute, and coordinate.
- Do not wing your preparation on only one language. Python and SQL, and also data querying, are all prominent, and some roles may include additional technical areas depending on the position.
- Do not assume there will be a fast decision or a clear outcome you can plan around. Candidate reports show an offer rate of 0.0%, so focus on maximizing performance in each stage rather than expecting offers early.
Neuberger Berman interview FAQ
Answered from real candidate and workplace dataWhat does the loop look like at Neuberger Berman?
Reported steps include recruiter and HR screening by phone, technical assessments, technical and behavioral interviews, and in-person interviews. Some candidates also encounter case studies and writing assessments, and final interviews may consolidate earlier evaluations.
How hard are the interview questions?
Across candidate reports, 19.4% of questions are rated easy, 64.8% medium, 11.2% hard, and 4.6% very hard. This suggests you should aim to be consistently strong on the medium band while still having some depth for the harder questions.
How long is the process?
The supplied data lists process steps but does not provide durations or total timeline. You should plan for a sequence that includes multiple interview types, including technical assessments and at least one in-person component.
What should I prioritize in my prep?
Prioritize Python and SQL, including data querying. Also prioritize behavioral interviewing and project management, because behavioral interviewing, project management, technical project management, and technical writing are all listed as prominent topics.
Will there be coding or technical assessments?
Several roles report technical assessments that may include coding tests and other technical evaluations, such as coding challenges or system design questions. Multiple roles also report technical interviews focused on role-relevant skills.
Can I re-apply if I do not get an offer?
The provided data does not include any re-application policy or guidance. It only reports candidate outcomes at a high level, including an offer rate of 0.0% in the dataset.
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