Data Analyst Intern, Lending Risk

Toronto

Super.com

Through rich rewards and everyday savings, Super helps you access more of what you want at better prices, escape overspending, and level up life.

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About Super.com
We started Super.com to help maximize lives–both the lives of our customers and the lives of our employees– so that everyone can experience all that life has to offer. For our employees, our promise is that Super.com is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized.  
We are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career and our aim is to supercharge it through the people, the work, and the programs that fuel who we are.
About the Role
Welcome to the rocket ship! This role will be tasked to find the balance between maintaining credit risk and providing affordable lending products to our customers. Additionally, this role will interact with some of the most innovative solutions in the lending industry and get to learn how to use data to drive strategies in the business. Come and ride with us!

Challenges You’ll Solve

  • The Intern assists with the development and implementation of solutions to influence business decisions for relevant line(s) of business
  • Coordinates with vendors/partners to to enhance our existing processes and product offerings
  • Analyzes performance results from potential vendors/partners to evaluate efficacy of existing processes and product offerings
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled
  • Applies programming and analytical techniques to assess loan performance data
  • Participates in the development and implementation of credit risk strategies as a team resource
  • Under general supervision, analyzes credit trends or variances and provides results for root cause analyses

About You

  • You can pull, clean and manipulate large sets of complex data to turn them into stories that business stakeholders can understand
  • You can write SQL queries and perform data analysis with Python and/or R, and know your way around analytics tools (Looker, amplitude, DBT and/or snowflake)
  • You are naturally curious and have a solid understanding of common statistical methods and real world applications

Qualifications

  • Pursuing an undergraduate/advanced degree (i.e Masters) at an accredited university.
  • Majoring in statistics, economics, finance or any other STEM discipline
  • Experience supporting data driven strategy
  • Foundational level of business acumen in the areas of the consumer finance, lending operations, and database analysis
  • Working knowledge of Microsoft Excel, PowerPoint, Word or similar spreadsheet, presentation, word processing and database tools
  • Good analytical experience with high attention to detail and accuracy
  • Good understanding of coding languages, such as SQL and Python
  • Straightforward and concise in communication

We've got you covered

  • Compensation: we pay our Interns top-of-market
  • $300 One-time home office set up allowance
  • $25/Week UberEats allowance on Fridays
  • $300/Term Learning and Development allowance
  • $120/ Term Fitness/Wellness allowance
  • Top Talent: work with the best in the world, including Engineers and Leadership from Google, Facebook, Wish, YouTube, Uber, and more
  • Build Something Great: most importantly, build a product used by millions around the world - have ownership, have impact, and do great work
We Believe in Equal Opportunity 
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, gender, sexual orientation, age, marital status, veteran status, or disability status. 
Accommodations are available on request for candidates taking part in all aspects of the selection process. If needed, please notify our Talent Acquisition Partner.
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Category: Analyst Jobs

Tags: Amplitude Credit risk Data analysis dbt Economics Excel Finance Looker Python R Snowflake SQL Statistics STEM

Perks/benefits: Career development Fitness / gym Home office stipend Startup environment Wellness

Region: North America
Country: Canada

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