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Lpl Financial Holdings FAR Program: Summer 2026 Internship - Data Analytics

Remote·54 interview reviews·Easy difficulty

59% positive51% applied onlinePosted 0d [Apply here](https://lplfinancial.wd1.myworkdayjobs.com/university/job/FAR-Program--Summer-2026-Internship---Data-Analytics_R-045030-1?utm_source=Simplify&ref=Simplify)
Difficulty
2.1/ 5
Experience
Positive59%
Neutral34%
Negative7%
Interview Source
Applied online51%
Recruiter23%
Referral8%
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Financial Holdings FAR Program: Summer 2026 Internship - Data Analytics Interview Reviews

54
R
Financial Holdings FAR Program: Summer 2026 Internship - Data Analytics Candidate
Nov 26, 2025 · Remote
✓ OfferNeutralAverage

Online assessment was difficult, but the final round technical was just 2 leetcode questions. Studying tagged questions and general leetcode helps a lot. Interviewer was friendly and wanted me to succeed.

Interview QuestionEasy

Two Sum - Given an array of integers and a target, return indices of the two numbers that add up to target

Arrays & HashingPractice this →
S
Financial Holdings FAR Program: Summer 2026 Internship - Data Analytics Candidate
Sep 23, 2026 · Seattle, WA
✓ OfferNegativeDifficult

Just one round with 2 LC hards in 45 min. It wasn't too bad at all — if you've done a lot of LC you're gonna be fine. Make sure to check off your approach with the interviewer before you begin implementing.

Interview QuestionMedium

K Closest Points to Origin - Find K points closest to origin using Manhattan distance

N
Financial Holdings FAR Program: Summer 2026 Internship - Data Analytics Candidate
Jan 4, 2026 · New York, NY
✓ OfferPositiveDifficult

The process was pretty straightforward. It started with an online assessment, followed by a phone screen, and concluded with a final interview round that had two LeetCode medium difficulty problems.

Interview QuestionMedium

Describe a time when you had to learn something quickly to complete a project

Learning & GrowthBehavioralPractice this →
S
Financial Holdings FAR Program: Summer 2026 Internship - Data Analytics Candidate
Dec 4, 2025 · Seattle, WA
✓ OfferNegativeAverage

Had a recruiter screen first, then a technical round focused on system design and coding. The interviewer was very professional and walked through the problem step by step. Good overall experience.

Interview QuestionEasy

Best Time to Buy and Sell Stock - Find the maximum profit from buying and selling one share of stock

M
Financial Holdings FAR Program: Summer 2026 Internship - Data Analytics Candidate
Mar 24, 2026 · Menlo Park, CA
✗ No offerNegativeDifficult

The process was pretty straightforward. It started with an online assessment, followed by a phone screen, and concluded with a final interview round that had two LeetCode medium difficulty problems.

Interview Question

LeetCode medium — Valid Sudoku / Binary Tree Level Order Traversal

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About This Role

Focus Areas
Software DevelopmentSystem DesignBehavioral
Key Skills
PythonSQLData AnalysisStatistics
Details
CompanyLpl
LocationRemote
Posted0d [Apply here](https://lplfinancial.wd1.myworkdayjobs.com/university/job/FAR-Program--Summer-2026-Internship---Data-Analytics_R-045030-1?utm_source=Simplify&ref=Simplify)
TierEnterprise

Frequently Asked Questions

How hard is it to get hired as a Financial Holdings FAR Program: Summer 2026 Internship - Data Analytics at Lpl?

The interview difficulty is rated 2.1/5 by candidates. 59% report a positive experience. Focus on Software Development, System Design, Behavioral to improve your chances.

How long does the Lpl Financial Holdings FAR Program: Summer 2026 Internship - Data Analytics hiring process take?

The process typically takes 2–6 weeks from application to final decision, depending on the hiring cycle and team availability.

What is the interview process like?

Most candidates go through a recruiter screen, followed by technical coding rounds, and a final interview loop. 51% of candidates applied online.

What questions are asked in a Lpl Financial Holdings FAR Program: Summer 2026 Internship - Data Analytics interview?

Common topics include data structures & algorithms (arrays, trees, graphs), system design, and behavioral questions using the STAR method. Practice with our AI mock interviewer to prepare.

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