Associate, Data Scientist - Toronto, Canada - CIBC

CIBC

Verified Company

Toronto, Canada

4 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

We're building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what's right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work.

Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit

Job Description:

What You'll Be Doing
CIBC ASG, the Alternate Solutions Group, comprises several direct, digital banking businesses, including Global Money Transfer and Simplii Financial
CIBC's Canadian digital banking brand. It is an innovative and fast moving branch of the CIBC Capital Markets group.
The ASG Analytics team supports these businesses by producing data analysis and modelling to increase operational efficiency, improve client experience and drive revenue. You will work closely with our business and technology partners in ASG to understand the business initiatives and produce endtoend analytics solutions, taking models from experiment to deployment.
At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of onsite and remote work) will be discussed at the time of your interview.
How You'll Succeed
Expertise: You will utilize your knowledge of machine learning and finance to frame and solve business problems using predictive and prescriptive analytics. You will draw on familiarity of multiple ML domains such as classification, regression, timeseries forecasting, recommender systems, reinforcement learning and causal inference. You will grow in the role, keeping up to date with developments in the field of finance and machine learning. You will build analytics products by writing code that is reliable, reproduceable and maintainable
Communication: You will engage with business partners and asking the right questions to understand their challenges. You'll be able to formulate and communicate solutions in an accessible way, and answer questions and concerns brought up by our partners.
Partnership: You will collaborate with the other members of the analytics team and bring your own perspectives to their problems and be open to suggestions on the best approaches for your own work. Together we will drive the success of the team.
Who You Are
You have a graduate degree in computer science, engineering, statistics or other scientific or mathematical discipline, PhD preferred.
You have at least 3 years work experience in analytical roles, including experience with data wrangling and programming skills to access, transform and prepare large datasets. You will also have experience working with advanced statistical and machine learning methods.
You have extensive knowledge of:
Writing complex queries in SQL and working with data warehouses-
Python programming-
Machine learning libraries (pandas, scikit-learn, xgboost)-
ML/AI Frameworks (Pytorch or Tensorflow)-
Software development tools, IDEs and Git for version control-
Knowledge of data visualization tools such as Tableau-
Understanding of Docker and Kubernetes-
Exposure to big data frameworks (PySpark, SparkML)
What CIBC offers
At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.
We work to recognize you in meaningful, personalized ways including a competitive compensation, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, pointsbased recognition program.
Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

What you need to knowYou need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

Job Location

Toronto-161 Bay St., 4th

Employment Type

Regular

Weekly Hours

37.5

Skills:

Analytics Insights, Business