Senior Manager, Machine Intelligence

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* Work Location:

** Markham, Ontario, Canada
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* Hours:

** 37.5
** Line of Business:
** TD General
** Pay Details:**$115,600 - $163,200 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  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.
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* Job Description:

**** Job Description
** As the Senior Manager, Analytics & Insights, you will help drive FCPO's modeling capability through tools such as statistical analysis or machine learning solutions.  This role will act as the primary steward and contact for fraud modeling needs, partnering with internal model governance oversight partners, external vendors and fraud business partners.  You will manage and develop modeling talent within our Machine Learning team, while working with those partners to prioritize the team's time to ensure existing inventory is sustained in a well-managed way and delivering new program enhancements to better detect fraud.
** Key Accountabilities
*** Lead and develop a team of Data Modelling professionals and provide day-to-day guidance as required.
* Act as a People Manager, being responsible for ongoing coaching and development, setting objectives and assessing performance.
* Maintain a well-managed model inventory, including execution and review of regular and appropriate performance monitoring, annual model reviews and other model risk management artifacts.
* Support Canadian and US fraud business needs through the evolution and growth of the fraud model inventory.
* Onboard & manage FCPO's fraud vendor model inventory.
* Partner with compliance/MV/MRM/COMO risk control partners to right-size TD risk appetite for fraud model portfolio.
* Identify process and behavioural changes that can meaningfully accelerate the model development and deployment timeline.
* Participate and influence strategic planning, including technology investments.
* Drive monthly and quarterly performance monitoring and attestations with business and executive leadership partners.
* Explore new data features that can enrich TD fraud detection to identify potential Model and Production System upgrades.
* Participate in management committees, employee recognition and volunteer events.
** Job Requirements
** Leadership, Relationship & Communication

Skills:

* Track record of working across organization and with multiple stakeholders at varying levels.
* Can develop and maintain strong internal relationships with key stakeholders.
* Excellent written and verbal communication.
* Ability to lead, inspire and empower others to proactively adapt to changing business environments and develops a highly effective team by ensuring ongoing training and development management
* Effective in delivering results by leading others.
* Demonstrated teamwork and track record of exceeding challenging goals.
* Comfortable and effective when interacting with executive level audience.
* Ability to translate complex/technical terms and concepts into easy-to-understand business language.
* Role-models behaviours consistent with TD leadership profile, customer and employee experience agendas and risk and control culture
* Creates an extraordinary place to work advance and sustain a unique, inclusive culture that reflects TD's diversity agenda, and creates an extraordinary employee experience

Strategic Thinking, Judgment & Influence:
* Creative, out-of-the-box thinker, with strong conceptual and problem-solving skills.
* Capable of quickly uncovering potential drivers for model performance variation to inform life-cycle management decisions.
* Experienced in setting business objectives.  Track record of delivering short- and long-term results through development and execution of strategies.
* Motivated to constantly strive to find innovative ways to enhance the program.
* Supports strategic and operational planning and delivery.
* Ability to optimize resources to maximize efficiency and effectiveness.
* Strong negotiation, conflict resolution and influencing skills.
* Ability to assess underlying core objectives for any situation and to partner with external groups in finding reasonable solutions that address those objectives.

Technical

Competencies:

* Demonstrated experience of developing and implementing classical and ML oriented models like Logistic Regression, Lasso and Ridge regularization, bagging and boosting techniques, and advanced modeling algorithms including neural networks
* Well-developed analytical abilities: must be…