Quantitative Analyst

About Upfeat Media

Upfeat is on a mission to be the leader in providing customers with the best deals when they are shopping online. By bringing together the right technical expertise and business acumen, we are in 5 global markets and we have teamed up with 20 partner sites. We are proud to have 40 million unique users, and we’re just getting started!

We have built an open, collaborative remote-first environment and we love to learn and experiment with new ideas and technologies. We are proud to appear for a second consecutive year in the Globe and Mail Report on Business of Canada's Top Growing Companies. In addition to being ranked in the Deloitte Technology Fast 50™ program, and recognized on the Deloitte Technology Fast 500™.

Role Description

Upfeat Media is looking for a Quantitative Analyst who has experience in developing performance measurement indicators and tracking progress toward targets. The successful candidate will collect and analyze internal and external data in the e-commerce and consumer goods space and develop tools and models to identify growth opportunities and propose recommendations or solutions that align with the Company's strategic direction. 

The Quantitative Analyst thrives in a technology-focused company and loves learning and experimenting with new ideas. We are also looking for someone who loves pushing themselves to achieve bigger and better things.

Responsibilities:

• Designing, implementing, and supporting quantitative models across multiple consumer goods categories

• Supporting and assisting with the development and maintenance of codebase as required

• Research and development of macroeconomic ecommerce forecasts and signals

• Helping team members make well-informed decisions

• Liaising with internal teams to provide market insights

Qualifications:

• Strong research and development skills and proficiency with computational based analysis

• Excellent problem solving, analytical/critical thinking and communication skills

• A positive team player who is extremely tech-savvy

• A degree in Computer Science, Mathematics, Engineering or Physics

• 2-3 years' work experience in quantitative analysis, data analysis, machine learning, coding, and/or econometrics
  

Notice for Job Applicants

We are an equal opportunity employer and value diversity and inclusion at our company. We thank all applicants, however, only those selected for an interview will be contacted.