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Publié il y a 9 mois

Quantitative Researcher

@ NumerixS Quant

Vancouver, Colombie-Britannique

160k $/anSur placeTemps plein
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En bref

NumerixS Quant is hiring a full-time Quantitative Researcher to contribute to an existing algorithmic trading strategy. The role involves analyzing dirty datasets for investment signals, writing Python code to automate the trading system, and developing predictive quantities. A PhD and a master's degree in a quantitative field are mandatory; relocation assistance is offered to candidates outside Vancouver.

Salaire :

160 000 $ par année

Responsabilités :

  • Drive projects that contribute to an existing trading strategy
  • Write code to automate the trading system
  • Analyze dirty data sets to identify investment signals
  • Develop predictive quantities to improve the strategy

Résumé des exigences :

  • PhD and master's degree in mathematics, physics or a quantitative field
  • Python programming experience
  • Expertise in statistics and mathematical modeling
  • Strong verbal and written communication

Outils et compétences

Avantages mentionnés

Assurance maladieSoins dentairesSoins de la vueRégime de retraiteCompte santé
Source et dates

Site carrière / système de candidatures · ashby

Date publiée par l’employeur
2026-02-03
Première détection par notre source
2026-10-08
Mise à jour du dossier source
2026-10-09

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

Détails du poste

NiveauDébutant
DomaineFinance et comptabilité
Heures par semaine40 (estimé)
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationDoctorat (exigé), Maîtrise (exigé)
Domaines d’étudesmathematics, physics, hard sciences, quantitative disciplines
Avantages mentionnésRégime de retraite, Prime de rendement

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

NumerixS Quant

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.

Separating signal from noise in global financial markets

Description complète de l’entreprise

NumerixS Quant is a high performance team of post-grads and Ph.D.'s in Physics, Math, Engineering and Computer Science that uses a massive amount of data, technology and innovative research to create sophisticated quantitative trading strategies.

Abonnés LinkedIn
1 834
Personnes associées sur LinkedIn
8
Bureaux déclarés
  • 1055 W Georgia St, Vancouver, British Columbia V6E 3P3, CA
  • 90 N Church St, 2nd Floor, George Town, Grand Cayman, KY
Autres noms enregistrés
  • NumerixS Quant
  • NumerixS Technologies (NumerixS Quant)
Le profil indique une agence de recrutement
Non

NumerixS Quant is a high performance team of post-grads and Ph.D.'s in Physics, Math, Engineering and Computer Science that uses a massive amount of data, technology and innovative research to create sophisticated quantitative trading strategies.

ChampValeur
SecteurInvestment Management
Taille2-10 employees
Siège socialVancouver, British Columbia
Type d’organisationPrivately Held
Fondée en2014
Offres sur Jobsy2
LinkedInVoir la page
Description

We are a data-driven company with a collegial atmosphere looking for team members who can do great work for application in the algorithmic trading industry.

Our ideal candidate is a PhD graduate with experience in an academic or post-doc research workplace looking to apply their capabilities to the real world. Our approach is to train successful candidates about our industry, markets and products, as such we are looking for people seeking their initial foray in the financial markets.

About you

You are motivated by intellectual challenges, curiosity, and solving problems. You are performance and results driven. You continuously seek to understand new and better approaches to analyze and interpret ‘dirty’ data to improve investment results. You enjoy coding. You love to see your work put into practice. For individuals currently living outside of Vancouver, we offer relocation assistance.

What You'll Do

  • Drive projects to completion that will contribute to an existing trading strategy

  • Write code to automate every aspect of the trading system

  • Code in Python and use relational time-series databases (kdb+)

  • Analyze ‘dirty’ data sets to identify possible investment signals

  • Develop predictive quantities to improve existing trading strategy

  • Take charge of your own projects, while collaborating with your colleagues and with the portfolio manager

What You Bring

  • Mandatory: PhD and Advanced Degree/Masters in in mathematics, physics, hard sciences or related fields in quantitative disciplines.

  • Highly analytical, keen attention to detail

  • Innate curiosity and an exceptional critical thinker who is results-oriented

  • Ability to implement your ideas in code

  • Programming experience in Python

  • Demonstrated expertise in statistics and mathematical modeling

  • Strong communications skills (both verbal and written)

  • Thrive in a performance-based environment

  • Require excellence of yourself and in the work you produce

Nice to Have

  • Experience participating in national or international math, physics or computer science competitions is strongly preferred

  • Strong experience with C++, R and kdb+ and working in a Unix environment

  • Legally entitled to work in Canada (however for exceptional candidates we can provide immigration assistance)

What We Offer

  • Annual bonus eligibility based on performance

  • Extended healthcare coverage*

  • Dental and vision care*

  • $1,000 per year Health Spending Account (for physiotherapy, massage therapy, and other eligible expenses)*

  • RRSP matching up to 9% (maximum annual contribution of $13,250)*

  • *After 90 day waiting period; not eligible for internships

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Lieux et modes de travail

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Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

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