Data Scientist II, RESL Analytics

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Hours:

Line of Business:

Pay Details:

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Data Scientist II, Data Science, RESL Analytics

Department Overview:

The AI2 (Analytics, Insights and Artificial Intelligence) RESL (Real Estate Secured Lending) team supports the day-to-day activities of the RESL team by supporting our partners with

data & analytics-based business insights and/or solutions to guide decision making and/or strategic planning. This means this role will require you to work closely with our RESL partners and provide end-to-end support for data, reporting analytics, insights and artificial intelligence solutions. You will be a part of a team that will drive change for the RESL business by providing insights, identifying opportunities and collaborating to better serve our customers.

Job Description/Responsibilities/Accountabilities

• Develop a deep understanding of business context and data infrastructure and can translate business problems to viable data science solutions.
• Use a wide range of programing languages (e.g. Python, Pyspark, SQL, SAS) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data.
• Collaborate with cross-functional data and business teams to define problems, analyze impacts, identify opportunities, and develop solutions that improve decision-making and efficiency.
• Translate business challenges into data-driven problems and design appropriate solutions, including metrics and analytics, business intelligence.
• Visualize insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.
• Lead, motivate, and develop collaborative relationships with internal and external stakeholders—including data scientists, business partners, and technical teams—to ensure seamless progress and deliver business objectives.
• Develop relationships with the RESL stakeholders, help socialize analytical insights, to collaboratively validate data and to develop a cohesive story of trends observed through analysis.
• Presentation & Storytelling: Develop and maintain analysis reports/dashboards/presentations and communicate insights effectively to multiple business partners; technical or non-technical – verbally/written
• Stay current on emerging developments in experimentation methodologies, continuously expanding knowledge of the business, related tools, and techniques
• Support existing processes or support new processes for the RESL teams primarily recurring activities that support business needs.
• Proactively identify opportunities and close gaps in understanding of the RESL customer lifecycle.

Job Requirements – What we're looking for:

• Bachelor's degree in computer science, computer engineering, relevant technical field, or equivalent practical experience.
• 2+years of experience performing advanced analytics or data science and/or consulting, ideally in an influencing or advisory capacity.
• Detailed oriented and highly organized to effectively manage multiple stakeholders, existing projects, new requests, resource constraints and competing priorities.

Technical Skills

• Coding: Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL (writing complex queries, stored procedures, data extraction).
• Data Visualization: Experience with Power BI and/or Tableau reporting.
• Experience in enhancing data collection procedures, data processing, cleansing, and verifying the integrity of data used for analysis.
• Ability to extrapolate insights from large amounts of data and develop actionable recommendations.

Soft Skills

• Effective communication – ability to communicate findings with business partners and executives both written and verbally
• Strong analytical mindset
• Strong oral & written communication skills
• Problem-solving abilities, finance, mathematical and data literacy
• Data Storytelling - Ability to translate data insights into business recommendations
• Comfortable in a team environment with changing priorities
• Ability to multi-task and work independently in a fast-paced, dynamic environment

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.  

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process 
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!

Language Requirement (Quebec only):