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Publié il y a 5 mois

Quantative Developer

@ Jay Analytix

Toronto, Ontario

Contrat7+ ans d’expérience
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En bref

Jay Analytix is hiring a Quantitative Developer on a contract basis in Toronto, Ontario, with a hybrid arrangement. The role builds and implements pricing, risk and analytics models in Python for trading and risk teams, working closely with quants and traders. Minimum seven years of quantitative development experience and mandatory capital markets domain knowledge are required.

Responsabilités :

  • Develop pricing and risk models for derivative products
  • Translate models like Black-Scholes into production Python code
  • Build libraries for portfolio analytics and valuation
  • Perform backtesting and simulation of trading strategies
  • Validate financial models and calculation accuracy

Résumé des exigences :

  • Minimum 7 years quantitative development or related experience
  • Mandatory capital markets domain experience
  • Advanced Python with NumPy, Pandas and SciPy
  • Strong knowledge of derivatives, fixed income and probability
  • Familiarity with SQL and data handling

Outils et compétences

Source et dates

Site carrière / système de candidatures · breezy

Date publiée par l’employeur
2026-06-04
Première détection par notre source
2026-10-09
Mise à jour du dossier source
2026-10-16

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineFinance et comptabilité
Expérience7 an(s) et plus
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Jay Analytix

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.

We consume complexity and deliver simplicity!

Description complète de l’entreprise

Jay Analytix has been providing smart information technology solutions to its clients. With expertise in consulting services for management and technology, our professional advisors supplement client staff and deliver solutions for fast-moving business environments. We are specialized in providing 1. Setting up and managing Data platforms 2. App Development 3. Providing Business analytics and reporting 4. Web Development ... and other services.

Abonnés LinkedIn
1 106
Personnes associées sur LinkedIn
17
Bureaux déclarés
  • Windsor, Ontario N9E 0B2, CA
  • Chennai, TamilNadu 600034, IN
  • Toronto, Ontario M5B 2L7, CA
  • Frisco, Texas 75033, US
  • Hyderabad, Telangana 500089, IN
Catégories d’activité
  • Information Technology
  • Consulting
  • Data Management
  • Enterprise Software
  • Business Intelligence
  • Cloud Computing
  • Analytics
  • Artificial Intelligence (AI)
  • Machine Learning
  • Staffing Agency
Autres noms enregistrés
  • Jay Analytix
  • Jay Analytix Inc
Spécialités
  • Data Solutions
  • Power BI
  • MSBI
  • App Development
  • Azure
  • Web Development
  • Azure data factory
  • Data warehousing
  • Power BI pagination
  • zoho CRM
  • Zoho CRM Customization
  • performance engineering
  • ETL
  • and AI/ML data solutions
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.

Jay Analytix has been providing smart information technology solutions to its clients. With expertise in consulting services for management and technology, our professional advisors supplement client staff and deliver solutions for fast-moving business environments. We are specialized in providing 1. Setting up and managing Data platforms 2. App Development 3. Providing Business analytics and reporting 4. Web…

ChampValeur
SecteurIT Services and IT Consulting
Taille11-50 employees
Siège socialWindsor, Ontario
Type d’organisationSelf-Owned
SpécialitésData SolutionsPower BIMSBIApp DevelopmentAzureWeb DevelopmentAzure data factoryData warehousingPower BI paginationzoho CRM
Offres sur Jobsy11
LinkedInVoir la page
Description

Quantitative Developer

Location: Toronto, Ontario, Canada — Hybrid Employment Type: Contract

About the Role

We are seeking a Quantitative Developer with strong expertise in quantitative finance and advanced proficiency in Python. This role focuses on building and implementing financial models, analytics, and pricing systems used by trading and risk teams. You will work at the intersection of finance and technology, translating sophisticated quantitative models into robust, production-quality code that directly supports trading and risk management decisions.

The ideal candidate brings deep capital markets domain knowledge, strong engineering discipline, and the ability to collaborate closely with quants and traders in a fast-paced, hybrid environment.

Key Responsibilities

  • Develop and implement pricing and risk models for derivative products.
  • Translate quantitative models (e.g., Black-Scholes) into production-quality Python code.
  • Build libraries and tools for portfolio analytics, valuation, and risk measurement.
  • Work closely with quants and traders to refine models and strategies.
  • Perform backtesting and simulation of trading strategies.
  • Validate financial models and ensure the accuracy of calculations.
  • Contribute to the ongoing improvement of analytics infrastructure and code quality.

Required Skills

Quantitative & Finance (Core Focus)

  • Minimum 7 years of experience in a quantitative development or related role.
  • Capital markets domain experience is mandatory.
  • Strong understanding of derivatives, fixed income, and capital markets.
  • Solid grounding in probability, stochastic processes, and statistics.
  • Hands-on experience with pricing models, risk metrics, and financial data.

Technical

  • Advanced Python, including NumPy, Pandas, and SciPy.
  • Strong experience with data analysis and numerical computing.
  • Familiarity with SQL and data handling.

Nice to Have

  • Exposure to C++ for performance optimization.
  • Experience working with quantitative research or trading desks.
  • Familiarity with model validation practices and regulatory expectations.

What We Offer

  • A hybrid work arrangement across major financial hubs in Canada and the USA.
  • The opportunity to work on high-impact pricing and risk systems used by trading and risk teams.
  • A collaborative environment that bridges quantitative finance and software engineering.

How to Apply

Qualified candidates are encouraged to submit a resume outlining relevant experience, including capital markets domain expertise and quantitative development work. We thank all applicants for their interest; only those selected for an interview will be contacted.

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