Data Scientist II Remediation
Job Summary
Work Location:
Toronto Ontario CanadaHours:
37.5Line of Business:
Analytics Insights & Artificial IntelligencePay Details:
$81600 - $115200 CADTD 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 candidates 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:
Department Overview
Within Canadian Personal Banking Analytics Insights and AI (CPB AI2) the Real Estate Secured Lending (RESL) Remediation & Regulatory team supports day-to-day operations of RESL Issue Management and Customer Remediation through data-driven insights. We help quantify issue materiality identify impacted customer segments and ensure efficient effective remediation. We are also responsible for delivering timely updates to regulators helping safeguard TDs brand and uphold our strong reputation.
Job Description
We are seeking a Data Analyst / Data Scientist to partner closely with business teams to investigate analyze and solve issues affecting our RESL customers while responding to regulatory data requests with precision and integrity. If youre detail-oriented passionate about problem-solving and thrive on uncovering meaningful insights from data this role is for you.
Key Responsibilities
- Build a deep understanding of the RESL business context data infrastructure and analytical needs. Translate complex business problems into viable and scalable data solutions.
- Use programming languages such as Python PySpark and SQL to extract transform and analyze large datasets. Leverage business acumen to uncover insights that drive action.
- Proactively engage with data owners to identify and acquire the necessary data sources required to support business analysis regulatory responses and remediation efforts.
- Partner with business stakeholders to define issues investigate root causes and quantify customer and operational impacts. Translate business needs into analytical requirements and deliver actionable data-driven solutions.
- Support business validation efforts by providing accurate data for testing and verification of implemented solutions ensuring remediation effectiveness and integrity.
- Gather and prepare impacted customer data for communication and remediation. Assist in calculating financial harm preparing customer notification packages and developing remediation strategies with business partners.
- Design and automate recurring regulatory and business reports to improve efficiency consistency and accuracy of deliverables.
- Communicate complex insights clearly through effective visualizations and storytelling tailored to both technical and non-technical audiences.
- Work independently and collaboratively with data engineers product managers and business stakeholders to ensure alignment and progress across initiatives.
- Actively contribute ideas for process and solution improvements focusing on increasing the effectiveness efficiency and impact of analytics within the team.
- Follow enterprise data governance and privacy standards rigorously especially when working with sensitive customer information. Ensure responsible handling storage and sharing of data at all times.
Team Culture & Collaboration
- Be an active engaged and supportive team member in a collaborative and high-performance environment.
- Promote a positive inclusive work culture centered around service innovation and continuous improvement.
- Participate in training performance feedback and knowledge-sharing initiatives.
- Keep stakeholders informed about key project updates and potential risks or blockers.
Required Qualifications & Skills:
Education & Experience:
- Undergraduate or advanced degree in a technical field (e.g. Math Statistics Engineering Computer Science or Finance).
- 3 years of experience in data analytics data science or a similar role; graduate-level research or thesis work may count toward experience.
Technical Skills:
- Programming: Proficient in Python and SQL; working knowledge of PySpark and Azure Databricks or equivalent cloud-based platforms is an asset.
- Data Visualization: Proficiency in Tableau Power BI and Excel for interactive reporting.
- Data Handling: Experience working with large datasets and customer-sensitive and transactional data.
Core Competencies:
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management.
- Ability to manage multiple priorities in a fast-paced highly-regulated environment.
- Attention to detail integrity and a customer-first mindset.
- Experience in RESL products (Mortgage Home Equity Line of Credit etc.) is an asset.
Who We Are:
TD is one of the worlds 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 95000 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:
Were delighted that youre considering building a career with TD. Through regular development conversations training programs and a competitive benefits plan were 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 youre interested in a specific career path or are looking to build certain skills we want to help you succeed. Youll 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 youre 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.
Were 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 youve got everything you need to succeed in your new role.
Interview Process
Well 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 youd 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):
Sans ObjetRequired Experience:
IC