D.A. Davidson Companies interview process & guide 2026
Everything we know about interviewing at D.A. Davidson Companies: the process stage by stage, what each round tests, and compensation by level.
- 1Recruiter screen
- 2Phone screens and screening calls
- 3Team interviews and team introduction
- 4Technical assessment
- 5Behavioral and leadership rounds, then final round
Interviewing at D.A. Davidson Companies
You should expect a multi-step loop that mixes recruiter screening, team or leadership discussions, and technical work. The distinctive part in the available data is that the topic mix is very technical-heavy, with Equity Research, Financial Statement Analysis, Financial Modeling, and AI or Machine Learning all showing up as top-tier topics (each with percentile at or near 100).
What the loop tests most, based on the extracted topic data, is your ability to connect analysis and modeling to real finance and research tasks. You are likely to be evaluated on Financial Statement Analysis, Fundamental Analysis, Equity Research, and Investment Banking Fundamentals, alongside modeling exercises that include Excel for finance modeling and data structures like Linked Lists.
The process likely culminates in a final evaluation of fit, with some combination of team chemistry, leadership input, and a final round, and at least one in-person Superday step reported. From the candidate reports you provided, offer rate is 0.0%, and positive sentiment is 65.2%, so you should plan for a rigorous process even if you generally expect a fair experience rather than an easy pass.
The topic distribution is unusually finance plus AI. Equity Research and Financial Statement Analysis are both at percentile 100, and AI or Machine Learning topics are also at percentile 100 or near it, so you need to be ready to do finance reasoning and modeling and also demonstrate ML or AI engineering fundamentals.
How hard is the D.A. Davidson Companies interview?
Aggregated from 69 interview experiencesAbout 1 in 3 candidates with a known outcome convert.
The interview process, end to end
5 rounds · based on 69 candidate reports- 1Recruiter screen
You start with a recruiter screen or an introductory call where you are assessed for fit. Prepare to summarize your background and why you are aligned with the role, since multiple steps are described as screening for baseline experience and suitability.
- 2Phone screens and screening calls
You may go through standard phone screens to confirm your suitability and baseline experience. This is where you should make your technical and finance direction clear, because later stages include both finance research and AI/ML-related topics.
- 3Team interviews and team introduction
You meet current team members to assess team chemistry and collaboration. Some reports mention meeting multiple team members, including Analysts and Associates.
- 4Technical assessment
You are evaluated on technical capabilities relevant to the role. The data indicates technical assessments can include stock pitch and modeling, and the prominent topic list suggests financial statement analysis, fundamental analysis, financial modeling with Excel, and AI or machine learning fundamentals, plus data structure basics like linked lists.
- 5Behavioral and leadership rounds, then final round
You discuss leadership qualities and alignment with the firm values, and you may meet leadership to finalize evaluation. The loop concludes with a final round assessing overall fit, and one report includes an in-person Superday step involving multiple interviewers.
What D.A. Davidson Companies 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 D.A. Davidson Companies interviewers actually ask that position, the loop structure, and pay by level.
What D.A. Davidson Companies 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
- Be ready for Equity Research and Fundamental Analysis. Your answers should explicitly connect what you see in financial statements to a research view, and you should be able to explain your reasoning clearly.
- Practice financial modeling and Excel for finance modeling. The data shows Modeling Test / Financial Modeling at percentile 92 and Excel (Advanced for Finance Modeling) at percentile 89, so focus on accuracy and clean, explainable steps.
- Brush up on data structures basics, not just finance. Linked Lists (percentile 100) and Data Structures (percentile 92) indicate you may see classic CS-style coding or reasoning even for finance-adjacent roles.
- Prepare for AI or ML fundamentals alongside finance. AI Engineering and AI or Machine Learning topics are prominent in the topic data, so be ready to discuss ML concepts and relate them to an engineering or analytical task.
Avoid this
- Do not treat the loop as purely behavioral. Behavioral topics are reported (leadership qualities and alignment), but the extracted topic data shows many highly technical areas that are prominent, including modeling, ML, and CS basics.
- Avoid going unprepared on Excel and modeling mechanics. Excel for finance modeling is a top topic (percentile 89), and modeling tests are also highly prominent, so vague or hand-wavy calculations can hurt.
- Do not rely only on generic “investment banking” knowledge. Investment Banking Fundamentals is near the top (percentile 96), but it sits alongside Equity Research, financial statement analysis, and modeling, so you need integrated answers.
- Don’t assume the process will be short or informal. Multiple screening and evaluation steps are reported, including team interviews and an in-person Superday step, so be prepared to repeat your story and also perform technically multiple times.
D.A. Davidson Companies interview FAQ
Answered from real candidate and workplace dataHow long is the interview process and what order should I expect?
The data shows multiple stages, including recruiter screen, phone screens or screening calls, team interviews or team introduction, technical assessments, and leadership or final rounds. There is also at least one reported in-person Superday. The supplied information does not give exact durations or a single fixed order across all roles, so treat the list as the set of steps you might encounter.
What are the hardest topics I should prepare for?
You should prioritize the highest-percentile topics first. Equity Research (technical), Financial Statement Analysis (technical), Linked Lists (technical), and AI or Machine Learning-related topics are at percentile 100, and Financial Modeling and Data Structures are also very prominent. Modeling test and Excel for finance modeling also rank highly, at percentile 92 and 89 respectively.
What does the company actually test in technical interviews?
The topic data indicates technical assessments include stock pitch and modeling for at least one role. Separately, topics like financial statement analysis, fundamental analysis, financial modeling, Excel for finance modeling, linked lists, and AI or machine learning fundamentals appear as prominent areas. You should be able to do both finance reasoning and ML/AI concept work, plus at least some CS-style fundamentals.
Is there a lot of coding, or is it mostly finance?
Coding is not the only focus, but data structures topics are clearly present, with Linked Lists at percentile 100 and Data Structures at percentile 92. At the same time, finance topics dominate heavily, including equity research, financial statement analysis, fundamental analysis, and financial modeling. Expect a mixed technical profile rather than purely finance or purely coding.
What are my chances of getting an offer after the interviews?
In the candidate reports you provided, the offer rate is 0.0%. That does not tell you what your individual outcome will be, but it does mean you should expect a competitive and demanding process based on the data available.
Can I re-apply if I don’t pass?
The supplied data does not mention re-application or retry timing policies. If you want, tell me the role you are interviewing for and I can help you build a preparation plan mapped to the topics most likely to come up.
What people say about D.A. Davidson Companies
Verbatim snippets from employee and candidate reviews“The culture is positive, with light-hearted and fun colleagues that make it a good place to work.”
“Overall, it's a good place to work, but management practices could use improvement.”
“Candidates should be prepared for a less structured environment and be proactive in seeking resources.”
“Management often lacks direction, and resources can be limited due to the firm's smaller size.”
“Salaries are below industry standards, and the benefits package is minimal, including subpar health insurance.”
“The work environment is stable, with clear communication across leadership levels.”
Related company guides
Companies that hire for the same data roles
Ready for your D.A. Davidson Companies interview?
Practice the exact questions from this guide with AI feedback, and walk into your loop knowing what to expect.