What is the opportunity? 

Polar Asset Management Partners is an alternative asset manager established in 1991 and headquartered in Toronto. With teams in Canada, US, and the UK, managing strategies across equities, credit, commodities, rates and niche strategies we are committed to generating strong risk-adjusted returns. 

 

We are looking for a passionate and dynamic Data Scientist who is motivated to support the future of the business through the innovation of in-house products. You will have the opportunity to work directly with our Global Portfolio Management team and drive alpha generation, risk mitigation, and enterprise data strategies.  

Our Data team is comprised of Data Scientists and Engineers who bring cutting-edge skills and prior experience from big tech and leading financial services firms. The team works together to create, innovate, and improve a wide range of investment decision making solutions. They work directly with end users to build proprietary analytics products spanning across various asset classes (equities, fixed income, credit, rates, commodities & energy).  

What will you do?  

  • Build, maintain, deploy, and improve our data science models and products – You will work with a team of experienced Developers and Data Scientists on custom analytics products using market data and alternative data. The custom models and solutions you build will be used by internal teams across the firm: Portfolio Management, Trading, Risk, Compliance, Business Development, Operations, and Quant Research.  
  • You will focus on developing data products – You’ll focus on building, documenting, and deploying data transformation, data visualization, model training, and inference pipelines. 
  • You will have the opportunity to work with Portfolio Managers and Investment Teams to actively enhance Trading & Analytics software. You will manage individual projects, priorities, and results.  
  • Collaborate with your peersYou will provide and receive direct and regular feedback from your team and internal customers. You will receive coaching, mentorship, and development opportunities from Senior Technologists, Portfolio Managers, and others in the organization.  

Who are you?  

  • You have a passion for data science, finance, and problem solving – You have hands-on experience with Python, SQL, and common data tools. You have a good understanding of data quality issues and are diligent to ensure high quality inputs are fed into models. You are eager to continuously expand your knowledge about technology and finance. You have already built and deployed statistical machine learning models in production and may have explored emerging artificial intelligence tools such as language models. 
  • You are driven to be a top developerYou are the go-to data scientist in your area or team (or even your organization). You are highly recognized for your excellent productivity, creativity, technical capability, sense of ownership, and collaborative attitude.     
  • You have a keen interest in the financial industry You are eager to learn about the financial industry from your work, peers, and industry experts. Previous experience with custom investment research and building analytical models in a major asset class (equities, rates, credit, or commodities) is highly desirable. 
  • You can balance writing clean and quality code with prompt execution and delivery – You have a strong work ethic and are able to balance working in a fast-paced environment with writing quality code.  
  • You are an excellent communicator – You can communicate with people of varying levels of technical expertise to dissect, test, and execute projects. You enjoy troubleshooting and working on solving interesting and complicated problems. 

Why work with us?  

  • We believe in developing, mentoring, and training our people – We are a passionate, dynamic, and high-performing team who believe in developing our own people. We will help you get great on-the-job learning experiences, challenge yourself for professional and personal growth. Our priority is providing a positive work culture that fosters growth, inclusion, and learning. Our developers get the opportunity to work on every stack (Data/Backend Services/UI) of our software products and across the business. The technology leaders are very open to ideas to improve the tech stack and the dev process.   
  • We provide a competitive compensation and comprehensive benefits package – Our compensation package includes a combination of competitive base salary, bonus, comprehensive health/vision/dental benefit package, and fitness allowance. We provide a charitable matching program, numerous team-building events, and hybrid work environment that allows you to do your best work. 
  • At Polar, we strive to attract, develop, and retain an inclusive workforce that embraces different backgrounds, experience, and ideas.   

 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. 

 

Polar Asset Management Partners Inc. does not accept unsolicited candidate resumes or profiles from external sources such as recruitment firms, headhunters, or employment placement agencies with whom we do not have a contractual relationship. Any candidate information or resume received, directly or indirectly, from a headhunter, agency or recruiter with whom we do not have a contractual relationship will be disregarded, and, under no circumstance, will we pay any referral, placement, or other fee for the supply of such unsolicited resumes or information. 

Location

Calgary, Alberta, Canada (Hybrid)

Job Overview
Job Posted:
1 week ago
Job Expires:
Job Type
Full Time

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