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 machine learning team works on a variety of projects across DRW's businesses. We apply machine learning to high-impact technology and trading problems. We also collaborate with academia and research institutions. Our goal is to stay at the forefront of ML research and always use the best models available.
We are looking for an exceptional Data Scientist to join our team. In this role you will build state-of-the-art models, deploy to production, and have the chance to make great impact to our business. You will always have interesting new problems to apply your skillset while also becoming an expert on certain areas.
Responsibilities:
- End-to-end development of machine learning models
- Analyze large datasets and develop opportunities to add value using machine learning and statistics
- Translate business needs into data science projects
- Collaborate with stakeholders from different departments at each stage of project
- Communicate projects and results to audiences with different backgrounds
Qualifications:
- Masters or PhD degree in computer science, engineering, statistics, math or related field
- Extensive experience in at least one area: machine learning, statistics, time series analysis, deep learning, NLP, computer vision, etc.
- Proven track record in a data science role solving real-world business problems
- Experience working with large datasets, data cleaning, preprocessing, and feature engineering
- Experience building, validating, deploying, monitoring, and updating predictive models
- Experience with machine learning tools and packages such as Tensorflow, Pytorch, Xgboost, Scikit-learn
- Excellent programming and scripting skills
- Experience working independently and delivering results
- Excellent written and oral communication skills, experience communicating complex ideas clearly and concisely to peers and stakeholders
- Strong collaboration skills
- Positive, team focused attitude
Following qualifications are a plus:
- Publications in relevant conferences and journals
- Experience with running machine learning models on cloud platforms
- Experience with hardware (GPU, FPGA,...)
- Software best practices (agile, version control, experiment tracking, code review etc.)
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 here
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.
