Posted 72 months ago
Desk Quant Analyst
@ Squarepoint Capital
Montréal, Quebec
Overview
Squarepoint Capital is hiring Desk Quant Analysts, an entry-level full-time role for graduates or early career professionals with a STEM background. The work supports quantitative researchers, traders and investment teams by maintaining trading tools, managing large datasets, and monitoring trading activity. Performance is reviewed annually, with paths into quantitative research or development.
Responsibilities:
- Maintain and improve trading tools, analytics and strategy configurations
- Clean, analyze and manage large datasets
- Monitor live trading and production systems
- Conduct post-trade analysis and reconciliation
Requirements summary:
- Degree in computer science, engineering, mathematics, physics or a related quantitative field
- Programming proficiency in C++, Java or Python
- Strong attention to detail and analytical problem-solving
- Ability to work well under pressure
Tools & skills
Source and dates
Employer career site / ATS feed · greenhouse
- Employer posting date
- 2020-12-21
- First seen by our source
- 2026-10-10
- Source record updated
- 2026-10-28
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Entry level |
| Department | Finance & accounting |
| Hours per week | 40 (estimated) |
| Schedule | day |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Computer Science, Engineering, Mathematics, Physics |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Squarepoint Capital
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Full company description
Squarepoint is a leading global investment management firm that develops quantitative investment strategies to achieve high quality returns for our clients. We are a data and technology driven firm who specialize in developing automated trading systems that execute across global financial markets.
- LinkedIn followers
- 54,397
- People associated on LinkedIn
- 1,591
- Reported office locations
- 250 W 55th St, New York, NY 10019, US
- One Ropemaker Street, London, United Kingdom EC2Y9AW, GB
- 88 Market Street, Singapore, Singapore 048948, SG
- 1190 Avenue des Canadiens-de-Montréal, Montreal, Quebec H3B0G7, CA
- 16 Avenue Matignon, Paris, France 75008, FR
- Quai du Mont Blanc 1, Geneva, Switzerland 1201, CH
- Baarerstrasse 53/55, Zug, Switzerland 6300, CH
- 18 Westlands Rd, Hong Kong, HK
- Intermediate Ring Road, Bangalore, 560071, IN
- Dubai International Financial Centre, Dubai, AE
- 845 Texas Avenue, Houston, TX 77002, US
- Calle de Velázquez, 34, Madrid, Community of Madrid 28001, ES
- 201 W Brookline St, Boston, Massachusetts 02118, US
- Business categories
- Financial Services
- Other recorded names
- Squarepoint Capital
- Squarepoint
- Profile identifies a recruitment agency
- No
- Reported total investment
- 0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Squarepoint is a leading global investment management firm that develops quantitative investment strategies to achieve high quality returns for our clients. We are a data and technology driven firm who specialize in developing automated trading systems that execute across global financial markets.
| Field | Value |
|---|---|
| Industry | Financial Services |
| Company size | 1,001-5,000 employees |
| Headquarters | New York, NY |
| Organization type | Privately Held |
| Open jobs on Jobsy | 52 |
| View page |
Please only apply to the one job you feel best fits your skillset and experience. If our team feels you are better suited for another role, we will reach out about the alternate opportunity.
Position Overview:
We are looking for highly motivated graduates or early career professionals with an interest in quantitative finance and a background in computer science, engineering, mathematics, physics or other STEM disciplines to join our team as Desk Quant Analysts.
You will work in close collaboration with Quantitative Researchers, Traders and investment teams to support a broad range of research, trading and production activities across the firm.
- Maintain and improve trading tools, analytics, production processes and strategy configurations used by investment teams.
- Clean, analyze and manage large datasets used in both research and production environments.
- Perform live and historical monitoring of trading activities, investigate production issues, and conduct post-trade analysis and reconciliation.
Performance and career development are reviewed annually. Successful Desk Quant Analysts have opportunities to progress into Quantitative Research, Quantitative Development and other technical roles, subject to performance, skills development and business needs.
Typical Day of Desk Quant Analyst:
- Before market open, check that all required data and related processes are ready for the trading day.
- During market hours, monitor trading activity and production systems, and investigate any issues that arise.
- Work on longer-term projects aimed at improving trading infrastructure, analytics, operational efficiency, data quality and business processes.
Required Qualifications:
- Degree in Computer Science, Engineering, Mathematics, Physics or a related quantitative discipline.
- Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python).
- Excellent attention to detail and strong analytical problem-solving skills.
- Strong communication skills and ability to work well with colleagues across multiple regions.
- Ability to work well under pressure.
Nice to have:
- Knowledge of Linux and Bash.
- Knowledge of Q/KDB+.
- Knowledge of financial markets.
- Advanced quantitative skills.
#LI-DNP
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