Data Scientist III

Data Scientist III

At TD Bank US Compliance, we're on a mission to build a more resilient and scalable compliance risk management function. As part of our team, you'll play a key role in reshaping compliance structures and processes, driving innovation at every level. Here, each team member has a chance to make a tangible impact – both in day-to-day operations and in the design of a future-focused compliance program. This not just about implementing a new program – it's about creating a culture of compliance that will cascade throughout the organization.

The Data Scientist III within the Fair and Responsible Banking 2LOD Complaints Team at TD will help to build the next generation of complaint intelligence and reporting capabilities. The ideal candidate will possess strong data science, analytics, visualization, and leading technology skills with a practical understanding of compliance, risk, and data governance. This role will be at the forefront of transforming complex customer complaint data into actionable insights that support US Compliance stakeholders, senior management, and multiple committees across TD. The successful candidate will be comfortable interfacing with a myriad of complaint data stakeholders, translating business needs into scalable complaint data products, tools, and reports, as well as embracing AI enabled capabilities, including Machine Learning, NLP, and LLMs while fostering clear human in the loop controls, transparency, and governance.

Key Responsibilities

• Design and develop modern complaint intelligence capabilities that transform complaint data into meaningful, action insights to inform compliance, risk mitigation, and identify potential customer harm.
• Develop and maintain a robust inventory of complaint dashboards, reporting, and analytics products using software tools such as Power BI, Python, SQL, R, Excel, and PowerPoint to deliver decision ready information to TD partners.
• Apply advanced analytics, machine learning, NLP, and LLM capabilities to identify complaint trends, emerging risks, themes, root causes, and customer impact to inform compliance strategies.
• Launch new complaint data products and analytical tools from requirements gathering, design, development, testing, implementation, and ongoing maintenance.
• Provide effective oversight of 1LOD complaint data handling including complaint taxonomy, data methodology, data quality, data completeness, data lineage, controls, and data interpretation.
• Translate complex analytical findings from complaint data into compelling business narratives, tailoring insights, visualizations, dashboards, and presentations to different audiences.
• Ensure responsible AI and human in the loop approaches consistent with TD policies, procedures, and governance requirements.

The above details are specific to the role which is outlined in the Job Description Summary below. Please review the Desired Skills and Experience section below as you consider this opportunity.

Job Description Summary

• The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material.
• Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability
• Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
• Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes
• Position typically deals with senior/executive management
• Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
• Focuses on longer-range planning for functional area (e.g. 12 months or greater)
• May manage and prioritize multiple projects at a given time

Education & Experience:

• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or
• 5+ year of relevant experience; higher degree education and research tenure can be counted

Desired Skills & Experience:

• 5+ years of experience in Data Science, Advanced Analytics, and Business Intelligence, preferably within banking or financial services.
• Advanced technical and analytical expertise including Python, R, SQL, machine learning, statistical analysis, NLP, and working with large and complex datasets.
• Strong business intelligence and data visualization skills with practical experience using Power BI and or Tableau, Excel, and PowerPoint skills to develop executive level dashboards and data summaries.
• Proven experience applying AI and advanced analytics to unstructured data, including NLP, LLMs, Generative AI, text classification, theme classification, and incorporating best practices for human in the loop accountability.
• Strong compliance, data governance, data quality, and stakeholder management capabilities.

Customer Accountabilities:

• Works closely with business owners to identify opportunities and serves as an ambassador for data science
• Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions
• Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data
• Visualizes 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
• Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business

Shareholder Accountabilities:

• Analytical thought leadership and stays current on developments in data mining and the application of data science
• Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency
• Educates the organization on approaches, such as testing hypotheses and statistical validation of result
• Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment
• Translates up to date information into continuous improvement activities that enhances performance
• Adheres to enterprise frameworks or methodologies that relate to activities for business area
• Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities
• Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations
• Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist
• Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues
• Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements
• Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts
• Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite

Employee/Team Accountabilities:

• Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest
• Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit
• Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques
• Participates in personal performance management and development activities, including cross training within own team
• Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities
• Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices
• Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships
• Contributes to a fair, positive and equitable environment that supports a diverse workforce
• Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally

Physical Requirements:

• Domestic Travel – Occasional
• International Travel – Never
• Performing sedentary work – Continuous
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