Everything we know about interviewing at Fidelity Investments: the process stage by stage, what each round tests, compensation by level, and reports from candidates who interviewed.
What the process looks like, and what Fidelity Investments is really testing for.
At Fidelity Investments, you go through recruiter conversations, then a mix of behavioral interviewing and technical evaluation. Across roles, the process includes phone screen style steps, behavioral interviews with HR and team leaders, and a technical loop that can involve live coding or online technical assessment, plus multiple technical rounds in a virtual onsite loop.
What they test is heavily anchored in data and analytics fundamentals. The topic coverage you should plan for includes Data Analysis (percentile 100), Python and SQL (percentile 90 and 89), plus quantitative risk and modeling concepts like Quantitative Risk Analytics (percentile 96), Statistical Modeling (percentile 93), and Risk Metrics like VaR and Expected Shortfall concepts (percentile 86). For roles that touch ML and domain work, expect Education Domain Knowledge and Financial Services Domain Knowledge for Machine Learning and AI (both percentile 96 and 92).
You should also expect role-specific signals around analytics ecosystems and design. Kdb+ (percentile 96), Shell Scripting (percentile 88), and Java (percentile 92) show up as prominent technical topics, and UX Design (percentile 100) is called out as a top technical area for design roles. Overall reported difficulty skews medium (60.6%), with hard and very hard making up 12.0% and 1.2%, and the aggregated offer rate in the candidate reports is 0.0%.
The interview topic distribution is very data heavy and risk heavy, so preparing only generic programming plus behavioral stories will leave large gaps. Your strongest prep should map directly to Data Analysis, Python, SQL, and the quantitative risk and modeling topics like VaR and Expected Shortfall, Statistical Modeling, and Quantitative Risk Analytics.
5 stages, based on 500 candidate reports.
You may start with a conversation with a recruiter to align on background, career goals, and expectations. Some roles also report a separate recruiter screen that covers your background, compensation expectations, and general fit.
A phone screen is reported, focused on evaluating your background and role fit. Expect resume deep-dive style probing to verify alignment with what the role needs.
Behavioral interviews are reported with HR and team leaders, focusing on cultural fit and how you approach challenges. Some reports describe teamwork and past experience as key areas.
You may complete a technical assessment or a technical screening step that can be an online assessment or live coding interview. The screening is described as focused on data structures and algorithms, and some roles also report a technical screening call with deeper resume and domain probing.
Some roles report a virtual onsite loop with multiple rounds involving engineering managers, tech leads, and peer developers, assessing coding proficiency and system design capabilities. Other reported final rounds include comprehensive panel interviews covering technical skills, quantitative risk concepts, and behavioral scenarios, followed by concluding final interviews.
How often each skill shows up across reported interview loops.
Each guide has the questions Fidelity Investments interviewers actually ask, the loop structure, and total compensation by level.
Estimated total compensation: base salary plus stock and annual cash bonus.
Patterns from candidates who got offers, and the mistakes that most often sink a loop.
Read what candidates said about interviewing at Fidelity Investments: the loop, difficulty, and outcomes, straight from recent reports for each role.
Answered from real candidate and workplace data, marked up for rich results.
Companies that hire for the same data roles, with the same depth of prep.
