Lead Advanced Analytics

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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 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:

Role Overview

The Lead Advanced Analytics role is a senior manager role as hands-on individual contributor responsible for end-to-end development of advanced analytic models and for setting analytical standards across teams. The role combines deep model-building expertise with the ability to independently evaluate and challenge models developed by peer teams to ensure they are fit for purpose methodologically sound and aligned to business risk and regulatory objectives.

The role focuses on insider risk internal fraud (against customers and the bank) and employee misconduct operating at the intersection of analytics risk management and governance.

Key Responsibilities

Advanced Model Development

Design build and deploy advanced statistical and machine learning models across insider risk and internal fraud use cases.

• Own the full model lifecycle including:
  • Problem definition and risk articulation
  • Data sourcing and feature engineering
  • Model selection and training
  • Performance evaluation and tuning
  • Implementation and ongoing monitoring

• Develop models such as:
  • Supervised classification models
  • Unsupervised anomaly detection models
  • Peer group and behavioral deviation models
  • Network / graph-based risk models
  • Hybrid rule model approaches

• Ensure models are interpretable explainable and operationally viable in production environments.

Feature Engineering & Data Science Excellence

• Design robust feature sets grounded in internal fraud typologies behavioral risk indicators and control weaknesses.
• Evaluate temporal features peer normalization and behavioral baselining.
• Identify data gaps and lead initiatives to enhance data quality and coverage.
• Apply sound sampling labeling and class-imbalance strategies.

Model Performance Monitoring & Optimization

• Define success metrics aligned to investigative outcomes and risk reduction.
• Conduct back-testing benchmarking and stress testing.
• Implement performance monitoring to detect:
• Continuously refine models to improve precision recall and operational efficiency.

Model Oversight & Credible Challenge

• Provide independent rational challenge to models developed by other analytics or vendor teams.
• Review models for:
  • Model Drift
  • Data Drift
  • Behavioral Shifts
• Challenge assumptions thresholds and performance claims using evidence-based analysis.
• Document challenge outcomes and drive remediation where required.

Governance Documentation & Validation Readiness

• Produce and review comprehensive model documentation including:
  • Model purpose and scope
  • Methodology and design rationale
  • Assumptions limitations and risks
  • Monitoring and change management plans
• Ensure compliance with internal Model Risk Management (MRM) frameworks.
• Support independent model validation internal audit and regulatory exams.
• Partner with second-line risk and compliance teams on model approvals.

Analytics Strategy & Standards

• Define modeling standards best practices and reusable frameworks across analytics teams.
• Promote consistency in feature engineering evaluation metrics and documentation.
• Influence the analytics roadmap and use-case prioritization.
• Evaluate and guide the use of emerging techniques (e.g. graph ML LLM-assisted analytics).

Cross-Functional Leadership & Influence

• Translate complex models into clear business-relevant narratives.
• Mentor and technically guide junior data scientists and analysts (without formal line management).
• Serve as a key escalation point for complex analytical decisions.

Required Qualifications

Experience

• 1015 years of experience in:
  • Advanced analytics data science or quantitative risk roles
  • Financial crime insider risk fraud or employee misconduct
• Demonstrated experience owning production models not just POCs.
• Proven ability to review and improve models built by other teams.

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 deliver legendary customer experiences to 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 the Bank those we serve and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers communities and colleagues.

TD is deeply committed to being a leader in customer experience that is why we believe that all colleagues no matter where they work are customer facing. As we build our business and deliver on our strategy we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether youve got years of banking experience or are just starting your career in financial services we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs were here to support you towards your goals. As an organization we keep growing and so will you.

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. Whether you have a passion for helping customers and want to expand your experience or you want to coach and inspire your colleagues there are many different career paths within our organization at TD and were committed to helping you identify opportunities that support your goals.

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):