Publié il y a 25 jours
Quantitative Researcher
@ Z1 Tech
Vancouver, Colombie-Britannique
En bref
Z1 Tech is hiring a Quantitative Researcher to develop and implement quantitative models that identify trading opportunities across financial markets. The role covers model research, backtesting, live trading monitoring and building AI-driven research tools, and requires a background in quantitative finance and programming.
Responsabilités :
- Develop quantitative models for trading strategies across asset classes
- Analyze large datasets to find trading opportunities
- Design, backtest and optimize algorithmic trading models
- Monitor live trading systems
- Build agentic AI workflows and research tools
Résumé des exigences :
- Research experience in financial services, investment banking or asset management
- Strong background in finance and quantitative modeling
- Proficiency in Python, R or MATLAB
- Experience with algorithmic trading systems is a plus
- Experience with LLMs, AI coding agents and modern software development
Outils et compétences
Source et dates
Site carrière / système de candidatures · lever
- Date publiée par l’employeur
- 2026-10-16
- Première détection par notre source
- 2026-10-16
- 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
| Domaine | Finance et comptabilité |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Z1 Tech
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.
Inventing the future of media and advertising
Description complète de l’entreprise
Z1 Tech is a technology company that aims to revolutionize digital content consumption experiences. Our quest started in 2015 to provide future-proof solutions to businesses and empower them in a new age technology environment. Through collaborative efforts of more than 200 innovators spread over 4 countries, we have successfully built brands like VDO.AI and Plunic. Our products stream over 5 petabytes of content, reaching 25 million people every day.
- Abonnés LinkedIn
- 22 391
- Personnes associées sur LinkedIn
- 200
- Bureaux déclarés
- 271, Phase 4, Udyog Vihar, Sector 18, Gurugram, Haryana 122022, IN
- 465 Fairchild Dr, Mountain View, California 94043, US
- Catégories d’activité
- Digital Marketing
- Internet
- Advertising
- Autres noms enregistrés
- Z1 Tech
- 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.
Z1 Tech is a technology company that aims to revolutionize digital content consumption experiences. Our quest started in 2015 to provide future-proof solutions to businesses and empower them in a new age technology environment. Through collaborative efforts of more than 200 innovators spread over 4 countries, we have successfully built brands like VDO.AI and Plunic. Our products stream over 5 petabytes of content…
| Champ | Valeur |
|---|---|
| Secteur | Technology, Information and Internet |
| Taille | 51-200 employees |
| Siège social | Gurugram, Haryana |
| Type d’organisation | Privately Held |
| Fondée en | 2014 |
| Offres sur Jobsy | 1 |
| Voir la page |
Job Overview
We are seeking a highly analytical and detail-oriented Quantitative Researcher to join our dynamic team. This role involves developing and implementing quantitative models to identify trading opportunities in financial markets. The ideal candidate will possess strong research skills, a solid understanding of investment strategies, and expertise in risk analysis and mathematical modeling within the financial services sector. This position offers an exciting opportunity to contribute to innovative trading strategies and advance your career in quantitative finance.
Responsibilities
- Conduct rigorous research to develop quantitative models for trading strategies across various asset classes
- Analyze large datasets to identify patterns, trends, and potential investment opportunities
- Design, backtest, and optimize algorithmic trading models to improve performance and manage risk effectively
- Collaborate with team members to refine trading algorithms based on market conditions and new research findings
- Monitor live trading systems, ensuring models operate efficiently and accurately in real-time environments
- Stay informed on market developments, financial instruments, and emerging quantitative techniques to enhance trading strategies
- Document research processes, model assumptions, and performance metrics for ongoing review and improvement
- Design and implement agentic AI workflows to automate research, data analysis, experimentation, and software development processes
- Rapidly prototype, build, and iterate on quantitative research tools, trading applications, and AI-driven systems, taking ideas from initial concepts to functional implementations
- Leverage AI coding agents, LLMs, and modern development frameworks to accelerate experimentation, engineering, testing, and deployment
Experience
- Proven experience in research within the financial services industry, particularly in investment banking or asset management
- Strong background in finance, with a focus on investment strategies, risk analysis, and quantitative modeling
- Proficiency in advanced mathematics, statistical analysis, and programming languages such as Python, R, or MATLAB
- Familiarity with financial markets, instruments, and trading platforms is highly desirable
- Demonstrated ability to analyze complex data sets and develop innovative solutions for investment challenges
- Prior experience in developing or implementing algorithmic trading systems is a plus
- Hands-on experience designing and orchestrating agentic workflows using LLMs, AI coding agents, tool integrations, and automated execution pipelines
- Demonstrated ability to rapidly prototype and build end-to-end software applications, research infrastructure, and data-driven products
- Experience with modern software development practices, including APIs, version control, testing, cloud deployment, and iterative product development
- Ability to independently translate abstract research ideas into working prototypes, production-ready tools, and scalable systems
This role is ideal for individuals passionate about applying quantitative methods to finance, eager to contribute to cutting-edge trading strategies, and committed to continuous learning within a fast-paced environment.
Journal
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