Quant jobs / Squarepoint Capital

Desk Quant Analyst

An entry-level role supporting researchers, traders and investment teams with tooling, data and daily production checks. It is a route into quant research or development at Squarepoint.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Check data and processes are ready before market open
Monitor live trading and investigate production issues
Clean and manage large research and production datasets
Maintain trading analytics and strategy configurations
Run post-trade analysis and reconciliation

What they ask for

Required

STEM degree
Programming in C++, Java or Python
Attention to detail
Analytical problem solving
Clear communication across regions
Working under pressure

Preferred

Linux and Bash
Q/KDB+
Knowledge of financial markets
Advanced quantitative skills

Education: Degree in computer science, engineering, maths, physics or a related quantitative subject.
Experience: Graduates or early-career professionals.
Languages and tools: C++
Java
Python
KDB+/q
Bash

How to prepare

Build a small data-cleaning pipeline for market data in Python
Learn basic KDB+/q queries
Practise Linux and Bash for scheduled jobs
Study post-trade reconciliation and basic transaction cost analysis

What to study

The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Squarepoint Capital’s site before applying: requirements, location and pay can change after we check them.

View the posting on Squarepoint Capital’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Squarepoint Capital and doesn’t handle applications.