Quantitative Developer

Nymbus Capital Inc.; Montreal; On-site; CAD 150,000 - 190,000; Full time

Benefits offered by this job

Medical and dental coverage

Disability coverage

Hybrid work model

Central Montreal offices

Job summary

Nymbus Capital, a Montreal-based systematic investment firm, seeks a senior Quantitative Developer for Investment Platforms. You will own end-to-end data and research platforms, backtesting stacks, portfolio construction, and internal apps.

You will work with researchers and strategists to design, validate and deploy models in an AI-native workflow. We foster autonomy and provide a hybrid work setup (3 days in-office, 2 days remote) with direct influence on trading infrastructure, dashboards,

Qualifications

• 8+ years of professional experience building production-grade systems.
• Expert Python, SQL/PostgreSQL, data modeling & API design.
• Experience with AI coding agents in daily workflow.
• Fluency in statistics, linear algebra, and numerical computing (NumPy/Pandas).
• Frontend UIs with Jinja2/HTMX or React.
• Cloud-native infra design and implementation (Azure/AWS/GCP).
• Infrastructure as Code (Terraform).
• Thrives in high-autonomy startup environments.

Responsibilities

• Own the platform architecture and set technical priorities.
• Ship production systems from conception to deployment.
• Co-build models with researchers from hypothesis to deployment.
• Define development standards, testing and validation frameworks; mentor the team.
• Lead AI-native development and guardrails for agent-assisted code.
• Build high-quality dashboards and internal tools for business teams.
• Guard data integrity with reconciliation, monitoring and alerts.

Skills

8+ years exp

Python & SQL

AI coding agents

Statistics & linear algebra

Frontend UI

Cloud native infra

Terraform & CI/CD

Startup mindset

Tools

Jinja2 HTMX

React

Docker

Kubernetes

Terraform

Job description

Quantitative Developer, Investment Platforms

Location: Montreal (Hybrid: 3 days in-office, 2 days remote)
Level: Senior
Employment Type: Full-time
Industry: Financial Services
Functions: Investment Management, Software Development

La version française suit ci-dessous.

About Nymbus Capital

Nymbus Capital is a Montreal-based systematic investment firm specializing in fixed income and managed futures solutions. We stand out as the only systematic and AI-centric bond manager in Canada. Our investment process is built and run by one integrated team of quantitative researchers, strategists and developers: asset allocation and security selection are driven by systems we build together, not by individual discretionary books. We've become known as “the nerds of the street” and proudly wear that tag.
Since our founding, we've grown to manage over $1.9 billion in assets, an achievement driven by consistent top-percentile performance. You will join a team where developers, researchers and strategists build the investment process together.

Role Overview

As our Quantitative Developer, Investment Platforms, you will own the systems that run our investment process end to end: the data platform that feeds every model and report, the research and backtesting stack, portfolio construction and trade execution, and the internal applications built on top. You will work as a peer to our quantitative researchers and strategists, not a ticket-taker, with a direct say in how models are designed, validated and deployed.

We build AI-native. You will use AI coding agents in depth throughout your workflow, from system design and implementation to testing, review and documentation, and you will help define how the whole team builds with them: the context, guardrails, evaluation and review practices that keep agent-assisted code production-grade.

What will your typical day look like?

• Own the platform architecture: Set technical priorities, make architectural decisions, and drive the evolution of our data, research and trading infrastructure with high autonomy.
• Ship production systems: Take projects from conception to deployment, moving fluidly between refactoring legacy research code and building new capabilities from scratch.
• Co-build models with researchers: Work alongside quantitative researchers and strategists from hypothesis to deployment, turning complex models, signals and data requirements into robust, tested and monitored production code.
• Build the technical foundation: Define development standards, testing and validation frameworks, and data contracts; mentor the team on best practices.
• Lead AI-native development: Evolve how the team works with AI coding agents (repository context, guardrails, automated testing and review workflows) to ship faster without lowering the bar.
• Enable the business: Build high-quality dashboards and internal tools that let the investment, operations and client teams interact with trading, risk and research systems.
• Guard data integrity: Own reconciliation, monitoring and alerting so that positions, prices and performance figures are right before they reach a portfolio or a client.

Qualifications

• Senior Development Background: 8+ years of professional experience building and maintaining production-grade systems, ideally data-intensive or numerical applications.
• Core Technical Proficiency: Expert-level Python, SQL/PostgreSQL, data modeling, and API design.
• AI-Native Development: Deep, hands-on use of AI coding agents (e.g., Claude Code, Codex, Cursor) in your daily workflow, and the system-design judgment to direct them: decomposing work, supplying the right context, reviewing and testing their output, and knowing when not to trust it.
• Quantitative Fluency: Comfort with statistics, linear algebra and numerical computing (NumPy, pandas or Polars), enough to read a research memo and challenge how a model is implemented.
• Frontend Flexibility: Ability to deliver fast, good-looking internal UIs using the most effective tools, from Jinja2 + HTMX to React.
• Cloud Native Execution: Proven ability to design and personally execute complex schemas and infrastructure end-to-end.
• Infrastructure Expertise: Hands-on experience with Azure (or AWS/GCP), containerization (Docker/K8s), CI/CD pipelines, and Infrastructure as Code (Terraform).
• Startup DNA: You thrive in high-autonomy environments and can clearly communicate architectural trade-offs to researchers, strategists and other non-developer stakeholders.

Nice to haves

• Finance Domain Knowledge: Exposure to fixed income data, portfolio accounting, performance measurement or trade lifecycles is a plus to lead schema and pipeline design.
• Data Engineering Concepts: Experience with workflow orchestration (Prefect, Dagster) and high-performance formats like Parquet or Arrow.
• Numerical Optimization: Familiarity with portfolio optimization and solvers (e.g., CVXPY, Gurobi, MOSEK).
• Machine Learning Experience: Practical familiarity with data science workflows, predictive modeling, and implementing ML logic or reinforcement learning in production environments.

What Nymbus Offers

• Impact & Autonomy
  • Direct influence on trading infrastructure and real-time decision-making, ensuring you see the immediate effects of your work.
• High-Performance Team Environment
  • Collaborate with quantitative researchers, strategists and developers who welcome bold ideas and open discussions.
  • Enjoy continuous mentorship from senior leadership, including our CIO.
• Access to Cutting-Edge Tools & Data
  • Leverage advanced market data, proprietary models, and sophisticated analytics to fuel innovation.
• Career Progression & Visibility
  • A clear technical career path with the same seniority levels as our research and investment tracks, growing into platform ownership, technical leadership, mentoring, and representing Nymbus's technology to clients.
• Hybrid Work Model
  • Balance in-person collaboration (3 days in our downtown Montreal office) with the flexibility of remote work (2 days).
• Comprehensive Benefits & Prime Location
  • Competitive compensation package, including medical, dental, life, and disability coverage.
  • Central downtown offices close to restaurants, shops, and public transit.

Our Culture

We value continuous improvement and rigorous analysis, nurture a supportive environment where every voice is heard, and are building a next-generation investment management firm rooted in intellectual curiosity and technological excellence.

Equal Opportunity Employment

At Nymbus Capital, we believe diverse perspectives make our team stronger. We strongly encourage women and candidates from underrepresented backgrounds to apply, even if you don't meet every single qualification listed.

Application Process

• Interview Steps: May include a coding assessment, technical interviews, and meetings with senior leadership.

We thank all applicants for their interest; however, only those selected for an interview will be contacted. No phone inquiries, please.

Join us and help build the systems that will shape the future of systematic fixed income and managed futures. We look forward to meeting you!

Développeur(-euse) quantitatif(-ive), plateformes d'investissement

Lieu : Montréal (hybride : 3 jours au bureau, 2 jours en télétravail)
Niveau : Senior
Type d'emploi : Temps plein
Secteur : Services financiers
Fonctions : Gestion de placements, développement logiciel

À propos de Nymbus Capital

Nymbus Capital est une société de gestion de placements systématique établie à Montréal, spécialisée en titres à revenu fixe et en contrats à terme gérés. Nous sommes le seul gestionnaire obligataire systématique et axé sur l'IA au Canada. Notre processus d'investissement est conçu et exploité par une seule équipe intégrée de chercheurs, de stratèges et de développeurs quantitatifs : la répartition de l'actif et la sélection des titres reposent sur des systèmes que nous bâtissons ensemble, et non sur des portefeuilles discrétionnaires individuels. On nous surnomme « les nerds de la finance », et nous en sommes fiers.
Depuis notre fondation, nous avons atteint plus de 1,9 milliard de dollars d'actifs sous gestion, grâce à un rendement constamment parmi les meilleurs centiles. Vous joindrez une équipe où développeurs, chercheurs et stratèges bâtissent ensemble le processus d'investissement.

Aperçu du poste

À titre de développeur(-euse) quantitatif(-ive), plateformes d'investissement, vous serez responsable de bout en bout des systèmes qui font fonctionner notre processus d'investissement : la plateforme de données qui alimente chaque modèle et chaque rapport, l'environnement de recherche et de simulation historique (backtesting), la construction de portefeuilles et l'exécution des opérations, ainsi que les applications internes qui s'y greffent. Vous travaillerez d'égal à égal avec nos chercheurs et nos stratèges quantitatifs, et non comme simple exécutant, avec une voix directe dans la conception, la validation et le déploiement des modèles.
Nous développons de façon IA native. Vous utiliserez en profondeur des agents de programmation IA dans l'ensemble de votre travail, de la conception des systèmes à l'implémentation, aux tests, au révision de code et à la documentation, et vous contribuerez à définir la façon dont toute l'équipe travaille avec eux : le contexte, les garde-fous, l'évaluation et les pratiques de revue qui gardent le code produit avec l'aide d'agents à un niveau de production.

À quoi ressemblera votre journée type?

• Responsable de l'architecture de la plateforme : établir les priorités techniques, prendre les décisions d'architecture et faire évoluer notre infrastructure de données, de recherche et de négociation avec une grande autonomie.
• Livrer des systèmes en production : mener les projets de la conception au déploiement, en passant aisément de la refonte de code de recherche existant à la création de nouvelles fonctionnalités.
• Cobâtir les modèles avec les chercheurs : travailler aux côtés des chercheurs et des stratèges quantitatifs, de l'hypothèse au déploiement, pour transformer les modèles, les signaux et le besoin de données complexes en code de production robuste, testé et surveillé.
• Bâtir les fondations techniques : définir les normes de développement, les cadres de tests et de validation ainsi que les contrats de données, et accompagner l'équipe dans l'adoption des meilleures pratiques.
• Mener le développement IA natif : faire évoluer la façon dont l'équipe travaille avec les agents de programmation IA (contexte des dépôts, garde-fous, tests automatisés et processus de revue) pour livrer plus vite sans abaisser la barre.
• Soutenir l'entreprise : créer des tableaux de bord et des outils internes de qualité qui permettent aux équipes de placement, des opérations et des relations clients d'interagir avec les systèmes de négociation, de risque et de recherche.
• Garantir l'intégrité des données : prendre en charge le rapprochement, la surveillance et les alertes afin que les positions, les prix et les rendements soient exacts avant d'atteindre un portefeuille ou un client.

Qualifications