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Data Analyst Intern, Lending Risk

extra holidays - fully flexible

Remote:

Full Remote

Contract:

Internships

Salary:

48 - 48K yearly

Experience:

Entry-level / graduate

Work from:

Canada

Offer summary

Qualifications:

Pursuing undergraduate/advanced degree, Majoring in statistics, economics, finance or STEM, Experience in data-driven strategy, Knowledge of SQL and Python.

Key responsabilities:

Assist with solution development and implementation
Analyze performance results from vendors

Super Information Technology & Services SME http://www.super.com/

201 - 500 Employees

HQ: Toronto

See more Super offers

Job description

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 PythonStraightforward 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.