Top Benefits
About the role
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
Our team works on a variety of high-impact machine learning projects with a DRW trading desk, and we are looking for a Machine learning quantitative researcher to join us. In this role you will design, implement and deploy critical systems for our machine learning models and have the chance to make great impact to our business. The role blends software engineering, machine learning, quantitative research and market intuition. As a member of our team, you will be surrounded by cutting-edge technology and experienced machine learning and software professionals providing you with the best possible environment to succeed. You will always have interesting new projects to apply your skillset while also becoming an expert on certain areas.
Responsibilities:
- Research, design and implement scalable and performant systems to serve machine learning models
- Own the full model lifecycle: from idea to production and ongoing performance monitoring
- Optimize training and inference performance of machine learning models
- Optimize models for deployment on different hardware configurations
- Drive projects and lead new initiatives
- Facilitate discussions on code implementation, testing and software architecture
- Actively engage with others on the team to resolve challenging design and coding issues
- Collaborate with stakeholders from different departments
Qualifications:
- Advanced degree (preferably PhD) in computer science, mathematics, physics, software engineering or equivalent
- 4+ years of experience building software for machine learning systems
- Strong background in probability, statistics and information theory
- Deep understanding of machine learning algorithms
- Strong experience in writing clean, modular, efficient and testable code
- Experience with building, validating, deploying, monitoring, and updating production models
- Experience with infrastructure and tooling for MLOps
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills
- Ability to learn quickly and provide solutions in a high pressure environment
- Experience with GPU programming using CUDA, OpenCL or similar libraries
- Experience with one or more of the following is an asset: distributed systems, multi-threaded programming, hardware/software interaction
What DRW Montreal has to offer you:
- Recognized as one of Canada's Best Employers for the past 8 years
- Committed to continuous learning & development
- Industry leading benefits package and perks
- Focused on employee well-being and work-life balance
- Community initiatives, volunteer program and opportunities for giving back
Find out more about all of our perks & benefits at: https://drw.com/work-at-drw/montreal-benefits
If you are an experienced software developer who is passionate about machine learning and enjoys working with cutting-edge technologies and solving complex problems, we encourage you to apply for this exciting position. You will have the opportunity to work with a talented and dedicated team to create innovative solutions that can make a significant impact to our business.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice**.**
California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice**.**
[#LI-KS1]
About DRW
At DRW, we identify and capture trading and investment opportunities globally. What sets us apart is our diversified approach—trading across many asset classes and instruments, in markets around the world, with horizons from seconds to years. We succeed by leveraging technology, research and risk management.
We offer the best of both worlds: the opportunity and spirit of a startup and the benefits and stability of an established, experienced firm. Our employees work hard to solve interesting problems, and their results are rewarded. We value continuous learning—from our outcomes, from the environment and from each other. It’s a place of high expectations, deep curiosity, and constant collaboration, with some of the smartest, most passionate people you’ll meet. // Chez DRW, nous identifions et saisissons les opportunités de négociation et d'investissement au niveau mondial. Ce qui nous différencie, c'est notre approche diversifiée : nous négocions sur de nombreuses classes d'actifs et d'instruments, sur des marchés du monde entier, avec des horizons allant de quelques secondes à plusieurs années. Nous réussissons en nous appuyant sur la technologie, la recherche et la gestion des risques. Nous offrons le meilleur des deux mondes: les opportunités et l'ésprit d’une entreprise en démarrage, et les avantages et la stabilité d'une entreprise établie et expérimentée. Nos employés travaillent dur pour résoudre des problèmes intéressants et leurs résultats sont récompensés. Nous valorisons l'apprentissage continu – de nos résultats, de l’environnement et de chacun de nous. C’est un lieu où les attentes sont élevées, la curiosité est profonde et la collaboration est constante, et où l’on retrouve quelques-uns des individus les plus intelligents et les plus passionnés que vous puissiez rencontrer.
Top Benefits
About the role
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
Our team works on a variety of high-impact machine learning projects with a DRW trading desk, and we are looking for a Machine learning quantitative researcher to join us. In this role you will design, implement and deploy critical systems for our machine learning models and have the chance to make great impact to our business. The role blends software engineering, machine learning, quantitative research and market intuition. As a member of our team, you will be surrounded by cutting-edge technology and experienced machine learning and software professionals providing you with the best possible environment to succeed. You will always have interesting new projects to apply your skillset while also becoming an expert on certain areas.
Responsibilities:
- Research, design and implement scalable and performant systems to serve machine learning models
- Own the full model lifecycle: from idea to production and ongoing performance monitoring
- Optimize training and inference performance of machine learning models
- Optimize models for deployment on different hardware configurations
- Drive projects and lead new initiatives
- Facilitate discussions on code implementation, testing and software architecture
- Actively engage with others on the team to resolve challenging design and coding issues
- Collaborate with stakeholders from different departments
Qualifications:
- Advanced degree (preferably PhD) in computer science, mathematics, physics, software engineering or equivalent
- 4+ years of experience building software for machine learning systems
- Strong background in probability, statistics and information theory
- Deep understanding of machine learning algorithms
- Strong experience in writing clean, modular, efficient and testable code
- Experience with building, validating, deploying, monitoring, and updating production models
- Experience with infrastructure and tooling for MLOps
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills
- Ability to learn quickly and provide solutions in a high pressure environment
- Experience with GPU programming using CUDA, OpenCL or similar libraries
- Experience with one or more of the following is an asset: distributed systems, multi-threaded programming, hardware/software interaction
What DRW Montreal has to offer you:
- Recognized as one of Canada's Best Employers for the past 8 years
- Committed to continuous learning & development
- Industry leading benefits package and perks
- Focused on employee well-being and work-life balance
- Community initiatives, volunteer program and opportunities for giving back
Find out more about all of our perks & benefits at: https://drw.com/work-at-drw/montreal-benefits
If you are an experienced software developer who is passionate about machine learning and enjoys working with cutting-edge technologies and solving complex problems, we encourage you to apply for this exciting position. You will have the opportunity to work with a talented and dedicated team to create innovative solutions that can make a significant impact to our business.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice**.**
California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice**.**
[#LI-KS1]
About DRW
At DRW, we identify and capture trading and investment opportunities globally. What sets us apart is our diversified approach—trading across many asset classes and instruments, in markets around the world, with horizons from seconds to years. We succeed by leveraging technology, research and risk management.
We offer the best of both worlds: the opportunity and spirit of a startup and the benefits and stability of an established, experienced firm. Our employees work hard to solve interesting problems, and their results are rewarded. We value continuous learning—from our outcomes, from the environment and from each other. It’s a place of high expectations, deep curiosity, and constant collaboration, with some of the smartest, most passionate people you’ll meet. // Chez DRW, nous identifions et saisissons les opportunités de négociation et d'investissement au niveau mondial. Ce qui nous différencie, c'est notre approche diversifiée : nous négocions sur de nombreuses classes d'actifs et d'instruments, sur des marchés du monde entier, avec des horizons allant de quelques secondes à plusieurs années. Nous réussissons en nous appuyant sur la technologie, la recherche et la gestion des risques. Nous offrons le meilleur des deux mondes: les opportunités et l'ésprit d’une entreprise en démarrage, et les avantages et la stabilité d'une entreprise établie et expérimentée. Nos employés travaillent dur pour résoudre des problèmes intéressants et leurs résultats sont récompensés. Nous valorisons l'apprentissage continu – de nos résultats, de l’environnement et de chacun de nous. C’est un lieu où les attentes sont élevées, la curiosité est profonde et la collaboration est constante, et où l’on retrouve quelques-uns des individus les plus intelligents et les plus passionnés que vous puissiez rencontrer.