Publié il y a 6 mois
Graduate Quant Developer
@ Squarepoint Capital
Montréal, Québec
En bref
Squarepoint Capital is hiring a graduate quant developer to build and maintain scalable, production-grade systems that support alpha generation and investment decisions. The role involves hands-on development with quantitative researchers and technologists in a high-performance environment, with growth toward owning technical components.
Responsabilités :
- Apply quantitative and software engineering skills to investment research and trading
- Design and maintain scalable, production-grade data processing workflows
- Develop and maintain libraries, tools and frameworks for researchers and traders
- Collaborate with researchers and global Investment and Technology teams
- Gradually take ownership of technical components
Résumé des exigences :
- Degree in a quantitative discipline such as Mathematics, Physics, Engineering or Computer Science
- Proficiency in Python, C++ or KDB+/q
- Prior commercial, academic or research software development exposure
- Familiarity with Linux and git
- Experience using AI tools in software development or research workflows
Outils et compétences
Source et dates
Site carrière / système de candidatures · greenhouse
- Date publiée par l’employeur
- 2026-05-12
- Première détection par notre source
- 2026-10-10
- Mise à jour du dossier source
- 2026-10-28
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Débutant |
| Domaine | Développement logiciel |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé) |
| Domaines d’études | Mathematics, Physics, Engineering, Computer Science |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Squarepoint Capital
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Description complète de l’entreprise
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.
- Abonnés LinkedIn
- 54 397
- Personnes associées sur LinkedIn
- 1 591
- Bureaux déclarés
- 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
- Catégories d’activité
- Financial Services
- Autres noms enregistrés
- Squarepoint Capital
- Squarepoint
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 0
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
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.
| Champ | Valeur |
|---|---|
| Secteur | Financial Services |
| Taille | 1,001-5,000 employees |
| Siège social | New York, NY |
| Type d’organisation | Privately Held |
| Offres sur Jobsy | 52 |
| Voir la 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:
Squarepoint is seeking talented, curious, and self‑driven graduate‑level candidates who are eager to apply strong quantitative and computational foundations in a challenging and innovative environment at the intersection of technology and investment research.
As a Graduate Quant Developer, you will work on the front line of our quantitative research business, collaborating closely with quantitative researchers and technologists to design, build, and maintain scalable, production‑grade systems that directly support alpha generation and investment decision‑making. This role is designed to support early‑career growth through hands‑on development, close collaboration, and continuous learning in a highly collegiate, high‑performance environment.
Role and Responsibilities
- Apply quantitative reasoning and software engineering skills to support investment research and trading
- Learn to translate business and research requirements into scalable, maintainable data processing workflows
- Work closely with quantitative researchers to design and implement efficient workflows for alpha generation
- Contribute to data‑driven analytics and tooling across a wide range of asset classes
- Develop, extend, and maintain libraries, tools, and frameworks used by researchers and traders globally
- Collaborate closely with peers across our global Investment and Technology departments
- Gradually take ownership of technical components and contribute ideas and solutions with direct commercial impact
Required Qualifications
- Degree in a quantitative discipline (e.g. Mathematics, Physics, Engineering, Computer Science, or similar) with a strong interest in computational and software‑driven problem solving
- Proficiency in at least one of our core languages: Python, C++, or KDB+/q
- Prior exposure to software development in a commercial, academic, or research environment, evidenced through internships, academic projects, work experience, or personal projects
- Familiarity with Linux and version control systems (e.g. git)
- Ability to work effectively with AI tools and systems, including demonstrable experience using them collaboratively to enhance software development, data analysis, or research workflows
- Clear written and verbal communication skills
- Strong curiosity, motivation to learn, and willingness to develop new skills
- Ability to work effectively in a fast‑paced, collaborative team environment
Nice to Have
- Proficiency in more than one of our core programming languages
- Exposure to quantitative finance, trading, or financial markets through coursework, projects, or internships
- Previous experience in a financial services or technology‑driven environment
- Hands‑on experience using git and Linux in team‑based or academic projects
Journal
Visible seulement par vous. Conservé sur cet appareil, et dans votre compte une fois connecté.