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Squarepoint Capital

Large Enterprises

Squarepoint Capital is a global quantitative investment management firm that uses data-driven and systematic trading strategies across multiple asset classes. Known for its research-intensive approach, it manages significant assets and operates across major financial centers worldwide.

3 interview notes · updated Jul 2026

Squarepoint Capital·Data Scientist·Technical Phone Screen

Jul 2026

Squarepoint Capital data scientist interview with a coding focus. The question was finance-flavored but really just a dynamic programming problem dressed up in quant clothing.

Implement a function mdd(pnl) that takes a cumulative PnL series and returns the maximum drawdown as a negative value, along with the start and end indices of that drawdown period.

“Looks like a finance question but it's basically the buy-and-sell stock problem with extra steps.”

Squarepoint Capital·Software Engineer·Take-home Assignment

Jun 2026

Squarepoint Capital had me build two React components from scratch and then pick them apart myself. The rating widget was more involved than I expected, and the Todo app follow-ups turned into a pretty wide-ranging design conversation.

Build a reusable React rating component that supports configurable icon count, half-step selection, mouse/touch/keyboard interactions, accessibility with ARIA, and both controlled and uncontrolled modes.
Build a React Todo application with add/edit/delete/toggle, filtering, localStorage persistence, and basic tests.
How would you improve the Todo app's performance, and what techniques would you use?
How would you make the Todo app more accessible, including keyboard navigation and screen reader support?
What UX improvements would you add to the Todo app, such as inline editing, due dates, or drag-and-drop reordering?
How would you scale the Todo app to sync with a backend API, including handling optimistic updates?
What would your testing strategy look like for these components, and how would you think about TypeScript adoption and error boundaries?

“The ARIA and keyboard parts took longer than I budgeted.”

Squarepoint Capital·Data Scientist·Technical Phone Screen

May 2026

Squarepoint Capital data scientist interview was pretty much a pure coding and algo session. Three problems back to back, two of them finance-flavored, one classic DP. Not a lot of small talk.

Implement a function that computes the maximum drawdown of a cumulative PnL series, returning the drawdown value as a negative number plus the start and end indices of the drawdown period. Analyze time and space complexity.
Given an array of daily stock prices, find the maximum profit from a single buy and sell transaction where the sell must happen after the buy. Return 0 if no profitable trade is possible. Your solution must run in O(n) time and O(1) space.
Given a list of coin denominations and a target amount, return the minimum number of coins needed to reach that amount using unlimited coins of each type, or -1 if it's impossible. Walk through a dynamic programming solution and its complexity.

“This was the one I was least prepared for going in.”