Quantitative Developer, Investment Platforms Location: Montreal (Hybrid: 3 days in-office, 2 days remote)Level: SeniorEmployment Type: Full-time 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. This is a hands-on role . You will personally write code, build integrations, deploy applications and resolve production issues. You will take ownership, learn unfamiliar systems quickly and move work forward independently. You will turn business needs into working software and help the team deliver. We build AI-native : you will use AI coding agents in depth and help define how the whole team builds with them. 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, from refactoring research code to building new capabilities. 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. 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. Put AI agents to work : Proactively identify useful applications for AI agents across investment, research and operations. Build and test them with the team, and verify their results before production use. 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. Own financial correctness : Reconcile positions, cash, transactions, prices, NAV and performance across custodians, fund administrators and internal systems. Detect missing or stale data, investigate differences and make failures visible before downstream use. Qualifications Senior Development Background: 5+ years of skilled experience building and maintaining production-grade systems,



ideally data-intensive or numerical applications. Backend: Strong Python and SQL/PostgreSQL skills, including data modeling, API design, query performance and safe database changes. Experience with FastAPI, SQLAlchemy/SQLModel and Alembic, or comparable tools, is relevant. AI-Assisted Development: Demonstrated ability to use AI coding agents to deliver production software. You can provide repository context, break work into clear tasks, review generated code, test financial logic and verify deployed behavior. You remain accountable for the result. AI Agent Development: Practical knowledge of building AI agents that use tools, APIs and data to complete tasks. You understand how to provide context, connect tools, evaluate results and make agent workflows reliable. 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. Machine Learning and Deep Learning: Working knowledge of machine learning and deep learning, including neural networks, model training, validation and evaluation. You can understand researchers' approaches, ask informed questions about data and model choices, and assess whether results hold up on new data. You can help integrate models into reliable production systems. Frontend: Ability to build and maintain useful internal applications with React and TypeScript. Infrastructure Expertise: Hands-on experience with Docker, Linux, CI/CD and infrastructure as code using OpenTofu/Terraform or comparable tools. Our environment includes Northflank, GitHub Actions, DigitalOcean and Tailscale. Familiarity with Pulumi is an asset. Autonomy and Initiative: You investigate problems, propose practical solutions and identify what needs attention without waiting for detailed instructions. You anticipate issues, communicate progress clearly and raise blockers early, with options for resolving them. Fast Learning: You quickly become productive in unfamiliar codebases, tools and financial workflows. You read existing code, test your understanding and ask focused questions when a decision needs business input. Team Delivery: You help colleagues finish work through implementation, code reviews and troubleshooting. You prioritize what matters and follow through until the result works. 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. Reliable Workflows: Experience building scheduled and background workflows, handling failures and retries, and preventing duplicate records or actions. Familiarity with Procrastinate, Polars and Arrow/Parquet is an asset. Numerical Optimization: Familiarity with portfolio optimization and solvers (e.G., CVXPY, Gurobi, MOSEK). What Nymbus Offers Impact and autonomy: direct influence on our trading infrastructure and investment decisions. Team: researchers,



strategists and developers who welcome bold ideas, with ongoing mentorship from our CIO. Career path: the same seniority levels as our research and investment tracks. Hybrid: 3 days in our downtown Montreal office, 2 days remote. Benefits: competitive compensation with medical, dental, life and disability coverage, retirement savings plan. 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 . Développeur Quantitatif, plateformes d'investissement Lieu : Montréal (hybride : 3 jours au bureau, 2 jours en télétravail)Niveau : SeniorType d'emploi : Temps plein A 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 Quantitatif, 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. Il s'agit d'un rôle concret et opérationnel . Vous écrirez vous-même du code, bâtirez des intégrations, déploierez des applications et résoudrez les incidents en production. Vous prendrez les choses en main, apprendrez rapidement des systèmes que vous ne connaissez pas et ferez avancer le travail de façon autonome. Vous transformerez les besoins d'affaires en logiciels fonctionnels et aiderez l'équipe à livrer. Nous développons de façon IA native : vous utiliserez en profondeur des agents de programmation IA et aiderez à définir la façon dont toute l'équipe travaille avec eux. 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, #J-18808-Ljbffr

📌 Quantitative Developer (Montreal)
🏢 Nymbus Capital
📍 Montreal