Postuler

Publié il y a 93 mois

Software Developer - Risk Data Pipelines

@ Squarepoint Capital

Montréal, Québec

Temps plein4+ ans d’expérience
Postuler
SIGNAUX

En bref

Squarepoint Capital is hiring a full-time Software Developer for its Risk Data Pipelines team. The role builds and maintains business-critical software that ingests and egresses trade data, supports quant and investment teams with risk and P&L analytics, and automates trading operations. The posting asks for at least 4 years of Python experience in finance and a bachelor's degree in computer science or a related field.

Responsabilités :

  • Design, develop and deliver high-quality, maintainable business-critical software
  • Capture requirements and define architecture with stakeholders
  • Lead design discussions and mentor team members
  • Participate in level 2 support

Résumé des exigences :

  • Bachelor's degree in computer science or related subject
  • 4 years' minimum Python experience in the financial industry
  • Experience with SQL and database management systems
  • Knowledge of equity, FX, credit or rates instruments
  • Excellent communication skills and team player

Outils et compétences

Source et dates

Site carrière / système de candidatures · greenhouse

Date publiée par l’employeur
2019-04-01
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

NiveauIntermédiaire
DomaineDéveloppement logiciel
Expérience4 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé)
Domaines d’étudesComputer 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.

ChampValeur
SecteurFinancial Services
Taille1,001-5,000 employees
Siège socialNew York, NY
Type d’organisationPrivately Held
Offres sur Jobsy52
LinkedInVoir la page
Description

Position Overview:

Risk Technology develops core services and systems required by Squarepoint’s systematic and quantitative trading strategies, such as real-time risk controls, position/inventory/P&L monitoring, internal order routing, and various pre and post-trading services.

Risk Data Pipelines develops software on top of the core Risk Technology platform to handle market or asset-class specific processing, including:

  • Trade Data Ingress - Normalize and stream trade data to Squarepoint's systems from trading platforms like Bloomberg, Fidessa and SpiderRock.
  • Trade Data Egress - Feeds to 3rd party platforms to ensure trade booking correctness and regulatory compliance.
  • Services and analytics used by investment and quant teams to understand Risk exposure, P&L and to improve capital efficiency.
  • Automation of trading operations to support the growth of the business, such as the management of options & future expiry and automated trade, position and P&L reconciliation.

This role provides an opportunity to learn many aspects of the way hedge funds operate through close collaboration with trading and quantitative teams, and as a developer you will:

  • Design, develop and deliver high quality and maintainable business critical software.
  • Work closely with stakeholders and colleagues to capture requirements, define architecture and technologies, identify and resolve bottlenecks, and deliver functionality.
  • Lead and contribute to design discussions and mentor other team members.
  • Participate in level 2 support.

Required Qualifications:

  • Bachelor’s degree in computer science or related subject.
  • 4 years’ minimum Python experience working in the financial industry.
  • Team player with excellent communication skills.
  • Experience with database management systems and related technologies such as SQL.
  • Knowledge of traded financial instruments (Equity, FX, Credit or Rates).

Nice to Have:

  • Experience of FIX protocol
  • Experience developing in data engineering (using Python with pandas, R, Julia)
  • Experience with KDB+/q

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