Data Scientist II (RESL)

TD

TD is a respected global financial institution and one of North America's largest banks, dedicated to delivering exceptional customer experiences. The Data Scientist II role on the RESL team contributes to data-driven strategies and ensures effective decision-making. The team works closely with stakeholders across various business lines, including Treasury and Analytics.

In this role you can expect to have the responsibilities:

• Partner with stakeholders to support data-driven strategies for the RESL portfolio.
• Collect and analyze data using techniques such as data wrangling, profiling, and visualization.
• Translate business problems into viable data science solutions.
• Use programming languages like Python and Pyspark to extract insights from big data.
• Visualize data insights for stakeholders.
• Collaborate with various partners to develop sustainable data science solutions.
• Suggest improvements to business processes through data insights.
• Educate on testing hypotheses and statistical validation.
• Maintain risk management and control processes.

This role comes with the following benefits:

• Health and well-being benefits
• Savings and retirement programs
• Paid time off
• Banking benefits and discounts
• Career development opportunities
• Mentorship and training programs

This role requires you to have:

• Advanced degree in math, statistics, engineering, finance, or computer science.
• 3+ years in analytics, data science, or consulting.
• Experience analyzing large data sets and communicating outputs.
• Proficiency with Python, Pyspark, SQL, Databricks, and Tableau.

You would benefit from having:

• Knowledge of consumer lending and RESL.
• Experience with pricing and hedging strategies.

The role is subject to provincial employment regulations in Canada. TD offers comprehensive career development resources, including access to an online learning platform and mentoring programs. The company is committed to accessibility and offers accommodations during the interview process.