Posted 72 months ago
Software Developer - Core Data
@ Squarepoint Capital
Montréal, Quebec
Overview
Squarepoint Capital is hiring a software developer for its Core Data team to model and maintain the firm's structured datasets and data pipelines. The role involves working with portfolio managers and researchers on data requirements, plus production support during business hours. Strong Python and/or kdb+/q experience and a bachelor's degree are required.
Responsibilities:
- Understand data requirements from investment research teams
- Design, build and troubleshoot data pipelines in Python and q
- Work with PostgreSQL and kdb+ databases
- Onboard and curate vendor datasets as subject matter expert
- Lead production support during business hours
Requirements summary:
- Bachelor's degree in Computer Science, Engineering or related field
- 4+ years of professional software engineering experience
- Proficiency in Python and/or kdb+/q
- Experience in a Linux environment
- Excellent verbal and written communication
Tools & skills
Source and dates
Employer career site / ATS feed · greenhouse
- Employer posting date
- 2020-11-30
- 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 | Mid level |
| Department | Software development |
| Experience | 4+ years |
| 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 |
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 |
The Core Data team models and owns the structured datasets that connect Squarepoint to the outside world, effectively representing the firm's view of reality. We partner closely with portfolio managers and investment researchers to define robust data models and build reliable data pipelines that transform and consolidate diverse sources into high-quality, centrally managed datasets.
These datasets are delivered through a service-oriented platform designed for scalability, reliability, and performance. Our technology supports every stage of the investment lifecycle, from research and backtesting to trading and portfolio management.
We are looking for talented software engineers with strong Python and/or kdb+/q experience to join our team. You will be part of a collaborative, learning-oriented environment where excellence is recognized, diverse perspectives are valued, and innovative solutions are encouraged.
- Acquire a deep understanding of the data requirements provided by investment research teams and deliver solutions that create business impact
- Design, implement, test, optimize and troubleshoot data pipelines and services using Python and q
- Work with a range of database technologies, including PostgreSQL and kdb+
- Analyze, onboard, and curate vendor datasets, becoming a subject matter expert in third-party data
- Take a leading role in production support and operational excellence during business hours
Required Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or related subject
- 4+ years of professional software engineering experience
- Proficiency in Python and/or kdb+/q
- Experience developing software in a Linux environment
- Excellent verbal and written communication skills
- Curiosity and a willingness to learn new technologies, tools, and frameworks
Nice to have:
- Knowledge of SQL and experience with relational and/or time-series databases
- Experience building and operating data-intensive applications
- Experience working with and analyzing financial datasets
Journal
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