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Open nowPosted 8 hours ago

Associét(e), Solutions de placement

Connor, Clark & Lunn Financial Group Ltd.88 open roles

Where
Montréal, Quebec, Canada
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Your applicationOpen nowAssociét(e), Solutions de placementConnor, Clark & Lunn Financial Group Ltd. · Montréal, Quebec, Canada
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Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market. Connor, Clark & Lunn Financial Group Ltd. postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.5%3 days
  3. 8.0%7 days
  4. 15.0%14 days
  5. 34.1%30 days
This job: posted 8 hours ago

Connor, Clark & Lunn Financial Group Ltd. median: 7 days open

The posting

Associét(e), Solutions de placement

CC&L Uni

Toronto ou Montréal

Vous souhaitez vous joindre à l’un des gestionnaires d’actifs les plus performants au Canada? Nous sommes à la recherche d’un Associét(e Solutions de placement pour notre équipe CC&L Uni.

CC&L Uni est la plateforme de solutions à catégories d’actifs multiples du Groupe financier CC&L, qui regroupe l’ampleur de nos capacités de placement afin de créer des solutions personnalisées pour les investisseurs institutionnels. Il s’agit d’une excellente occasion de vous joindre à une équipe en croissance et de jouer un rôle clé dans l’élaboration d’outils d’analyse et quantitatifs qui soutiennent la répartition stratégique de l’actif, la construction de portefeuille, l’analyse du risque et les solutions de placement personnalisées.

Si vous aimez résoudre des problèmes de placement complexes, travailler avec des données et des modèles quantitatifs, et créer des outils qui peuvent avoir une incidence réelle sur les décisions de placement, il pourrait s’agir de la prochaine étape importante de votre carrière. Vous travaillerez en étroite collaboration avec le chef, Solutions de placement et les équipes de placement à l’échelle de la société, avec l’occasion de développer de nouvelles capacités d’analyse de A à Z. Nos bureaux fonctionnent actuellement selon un modèle hybride combinant des jours de travail au bureau et des jours de travail à distance tout au long de la semaine.

Ce que vous ferez

  • Construire et maintenir des outils et des infrastructures d’analyse dans Python, notamment des générateurs de scénarios, des analyses de portefeuille, des outils d’optimisation et des processus de production de rapports.
  • Élaborer des pipelines de données qui regroupent des données sur les marchés, l’économie, le portefeuille et le passif provenant de sources internes et externes.
  • Effectuer des recherches et élaborer des hypothèses relatives aux marchés financiers et des scénarios économiques à long terme.
  • Soutenir la répartition stratégique de l’actif, l’optimisation du portefeuille et l’analyse de scénarios.
  • Analyser les portefeuilles sur les marchés publics et privés, notamment les facteurs de rendement, le risque, la liquidité, les flux de trésorerie et les interactions du portefeuille.
  • Effectuer des analyses de l’actif-passif, du risque lié aux surplus des caisses de retraite et du portefeuille axées sur les résultats.
  • Soutenir le développement de solutions personnalisées de placement dans les titres à revenu fixe et les titres multi-crédit.
  • Élaborer et surveiller l’analyse du risque, notamment l’exposition aux facteurs, la simulation de crise, les baisses, la liquidité et la concentration.
  • Soutenir l’analyse pour les caisses de retraite, les compagnies d’assurance, les fondations, les fonds de dotation et les autres investisseurs institutionnels.
  • Préparer des documents d’analyse et des présentations pour la gouvernance des placements, les discussions avec les clients et les consultants, les recherches et les demandes de proposition.
  • Aider à élaborer et à tenir à jour la documentation sur les hypothèses, les modèles et les méthodes de placement.
  • Collaborer avec les professionnels des placements et les équipes à l’échelle de CC&L pour transformer la recherche quantitative en solutions de placement pratiques.

Ce que vous apportez

  • De deux à sept ans d’expérience en placement, en recherche quantitative ou en développement quantitatif, en analyse de portefeuille, en répartition de l’actif, en services-conseils en actuariat ou en placement, ou en gestion d’actifs en assurance.
  • Diplôme de premier cycle ou d’études supérieures en finance, en économie, en mathématiques, en statistique, en actuariat, en génie, en informatique, en physique ou dans une discipline quantitative connexe.
  • Solides compétences avec Python, notamment expérience avec les bibliothèques scientifiques et de données, et une solide compréhension des pratiques de développement de logiciels, comme le contrôle des versions, les essais et la conception modulaire.
  • Expérience dans la conception d’outils, de modèles, de bibliothèques ou de systèmes analytiques, plutôt que dans la simple utilisation d’outils existants.
  • Solides compétences en SQL et en gestion de données, ainsi qu’une connaissance poussée d’Excel et une expérience de l’analyse statistique et de la visualisation de données.
  • Connaissance de l’optimisation, de la simulation et de la modélisation stochastique.
  • Une expérience ou une connaissance de l’allocation stratégique d’actifs, aux marchés des titres à revenu fixe ou à l’analyse actif-passif est souhaitable.
  • Une expérience en modélisation des régimes de retraite, des assurances, des fonds de dotation, des risques, des passifs actuariels ou des facteurs constitue un atout.
  • Être en voie d’obtenir le titre de CFA, d’actuaire, de CAIA ou de FRM constitue un atout.
  • La maîtrise du français constitue un atout.
  • Solides compétences en analyse et en résolution de problèmes, et capacité à travailler efficacement malgré l’incertitude et l’information imparfaite.
  • Un intérêt véritable pour les placements et la construction de portefeuille, et la capacité d’établir un lien entre l’analyse quantitative et les objectifs du client.
  • Solides compétences en communication et capacité d’expliquer clairement les concepts quantitatifs aux investisseurs, aux clients et aux responsables de la gouvernance.
  • Une approche collaborative, une intégrité élevée et un jugement sûr lorsqu’on travaille avec des renseignements confidentiels.

English Version Below:

Interested in joining one of Canada’s top performing asset managers? We are looking for an Associate, Investment Solutions to join our CC&L One team.

CC&L One is CC&L Financial Group’s multi-asset solutions platform, bringing together the breadth of our investment capabilities to create customized solutions for institutional investors. This is an exciting opportunity to join a growing team and play a key role in building the analytical and quantitative tools that support strategic asset allocation, portfolio construction, risk analysis, and customized investment solutions.

If you enjoy solving complex investment problems, working with data and quantitative models, and building tools that can have a real impact on investment decisions, this could be the next great step in your career. You will work closely with the Head of Investment Solutions and collaborate with investment teams across the firm, with the opportunity to build new analytical capabilities from the ground up. Our offices currently operate on a hybrid model with a combination of in-office and remote working days throughout the week.

What You Will Do

  • Build and maintain analytical tools and infrastructure in Python, including scenario generators, portfolio analytics, optimization tools, and reporting processes.
  • Develop data pipelines that bring together market, economic, portfolio, and liability data from internal and external sources.
  • Research and develop long-term capital market assumptions and economic scenarios.
  • Support strategic asset allocation, portfolio optimization, and scenario analysis.
  • Analyze portfolios across public and private markets, including return drivers, risk, liquidity, cash flows, and portfolio interactions.
  • Conduct asset-liability, pension surplus-risk, and outcome-oriented portfolio analysis.
  • Support the development of customized fixed income and multi-credit investment solutions.
  • Build and monitor risk analysis, including factor exposures, stress testing, drawdowns, liquidity, and concentration.
  • Support analytics for pension plans, insurance companies, foundations, endowments, and other institutional investors.
  • Prepare analytical materials and presentations for investment governance, client discussions, consultants, searches, and RFPs.
  • Help develop and maintain documentation around investment assumptions, models, and methodologies.
  • Collaborate with investment professionals and teams across CC&L to turn quantitative research into practical investment solutions.

What You Bring

  • 2–7 years of experience in investments, quantitative research or development, portfolio analytics, asset allocation, actuarial or investment consulting, or insurance asset management.
  • Undergraduate or graduate degree in Finance, Economics, Mathematics, Statistics, Actuarial Science, Engineering, Computer Science, Physics, or a related quantitative discipline.
  • Strong Python skills, including experience with scientific and data libraries, and a strong understanding of software development practices such as version control, testing, and modular design.
  • Experience building analytical tools, models, libraries, or systems rather than simply using existing tools.
  • Strong SQL and data management skills, as well as advanced Excel and experience with statistical analysis and data visualization.
  • Knowledge of optimization, simulation, and stochastic modelling.
  • Exposure to strategic asset allocation, fixed income markets, or asset-liability analysis is preferred.
  • Experience with pension, insurance, endowment, risk, actuarial, liability, or factor modelling is an asset.
  • Progress toward a CFA, actuarial, CAIA, or FRM designation is an asset.
  • French language skills are an asset.
  • Strong analytical and problem-solving skills, with the ability to work effectively with uncertainty and imperfect information.
  • A genuine interest in investments and portfolio construction, with the ability to connect quantitative analysis to client objectives.
  • Strong communication skills and the ability to explain quantitative concepts clearly to investment, client, and governance audiences.
  • A collaborative approach, high integrity, and sound judgment when working with confidential information.

#LI-HYBRID #LI-RD1

What We Offer At Connor, Clark & Lunn Financial Group, we’re "invested in our greatest asset, you". Our shared goals reflect what matters most to our people:

  • Your community: we foster belonging through collaboration, inclusion and flexibility. Enjoy social events, volunteering and a strong commitment to corporate social responsibility. Our flexible work practices are designed to support work-life balance and provide employees with flexibility in where and how they work
  • Your growth: we prioritize your development with meaningful work, continuous learning budgets, paid study days and support for professional designations.
  • Recognizing you: your contributions are rewarded with competitive total compensation, retirement savings support, wellness credits, enhanced parental leave, and comprehensive health benefits.

For a closer look at how you can build your career with us, we invite you to explore cclgroup.com.

We are committed to providing an inclusive, accessible recruitment and selection process. We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process. Please contact [email protected] if you require accommodation.

AI may be used to support certain stages of our screening & recruitment process. These tools support, but do not replace, human judgment and decision-making.

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