Data Analytics Engineer

Toronto, Ontario, Canada (Hybrid)

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Polar Asset Management Partners Inc.

Building partnerships with the world's preeminent investors for over 30 years, Polar is committed to delivering great risk-adjusted returns.

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What is the opportunity? 

Polar Asset Management Partners is a Toronto based alternative asset manager established in 1991 which manages approximately US$6.5 billion. With teams in Canada, US, and the UK, we are committed to generating strong risk-adjusted returns. 

 

Our Data team is comprised of world-class developers and data scientists who bring cutting-edge skills and previous experience from big tech and top financial services firms. The team works together to create, innovate, and better a wide range of data platform solutions. They work directly with end users to build proprietary analytics products.  

We are looking for a passionate and dynamic Data Analytics Engineer who would like to play a role in the future of the business through innovative in-house built solutions. You will have the opportunity to work directly with our Global Portfolio Management team and drive forward our enterprise data strategy.  

 

What will you do?  

  • Build, maintain, support, and improve our data platform – Your will work with a team of experienced developers and data scientists on our custom investment analytics products, market data and alternative data pipelines, and critical operational infrastructure used by internal teams: Portfolio Management, Trading, Risk, Compliance, Business Development, Operations, and Finance.  
  • You will focus on developing data products – for most of your time, you’ll focus on designing, building, documenting, and supporting data ingestion, data transformation, data visualization, and machine learning 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 peers – You will provide and receive direct and regular feedback from your team and internal customers. You will receive coaching, mentorship, and development opportunities from Senior Developers and others in the organization.  

 

Who are you?  

  • You have a passion for data analytics and problem solving – You have hands-on experience with Python, SQL, and common data analytics tools. You have a good understanding of data quality issues and checks necessary to ensure automated data delivery. You are eager to continuously learn new things about technology.  
  • You are driven to being a top developer – You are the go-to dev in your team (or even your organization). You are highly recognized for your excellent productivity, creativity, technical capability, 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 in a major asset class (equities, rates, credit, or commodities) and financial market data is nice to have. 
  • You can balance writing clean and quality code with 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 scope out, test, and execute projects. You’re someone who enjoys troubleshooting and working on solving interesting and complicated problems with other smart technologists and investment professionals.  

     

    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, and opportunity for profit sharing, 20 days’ vacation, 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 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. 

    * Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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    Tags: Data Analytics Data pipelines Data quality Data strategy Data visualization Finance Machine Learning Model training Pipelines Python SQL

    Perks/benefits: Career development Competitive pay Health care Salary bonus Startup environment Team events

    Region: North America
    Country: Canada

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