Job Description

TD Description

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Department Overview

As a member of the Enterprise Data & Analytics Canadian Fraud Transformation team, key objectives will include: driving business value, streamlining and strengthening operations, and helping modernize TD Fraud's analytical toolkit. Your efforts within this team will directly help contribute to protection of clients across North America.

Job Requirements

Requirements:

• Undergraduate degree from a technical domain (e.g. finance, engineering, mathematics/statistics computer science), preferably from a STEM program
• 2+ years' experience in an analytical capacity
• Demonstrated working knowledge using analytical software tools such as SAS, Python, SQL and Excel for data analysis and/or reporting
• Ability to quickly and independently structure and deliver on new problems not previous tackled by the bank
• Demonstrated analytical, modeling and problem solving skills
• Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
• Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
• Ability to take initiative and work independently under tight timelines
• Ability to work collaboratively and build relationships
• Ability to effectively manage multiple projects and priorities simultaneously
• Motivated to constantly strive to find innovative ways to enhance capabilities

Preferable:

• Knowledge of machine learning is an asset
• Experience in fraud management is an asset
• Agile experience is an asset

Hours

37.5



About this Role

As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

:

The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately.

Accountabilities:

• Identify, develop, and deliver analytical solutions against emerging and in-market fraud trends
• Produce and present insights and actionable recommendations to solve business problems and align with our strategy
• Cooperate with other analysts and data scientists to enable the delivery of top-quality analysis and fraud mitigation strategies
• Owns the strategy design and configuration in all fraud prevention platforms (e.g. Falcon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCAS, Avant, Experian, Transunion), in alignment with the Change Management protocols
• Analyze and design policy, process, or strategic changes to support Fraud-driven initiatives
• Works with business partners to understand new intent, and to identify the incremental fraud risks associated with that intent
• Collaborates with business partners to develop solutions that minimize fraud risk while enabling business partners to achieve bank strategic priorities
• Act as a bridge to translate business requirements to analytics and reporting needs
• Occasionally provides IT release support to ensure projects reliably deliver on fraud requirements
• Support the continuous improvement agenda for our operational partners
• Maintain strong relationships with internal stakeholders such as Fraud Operations, Internal Business Partners, Vendor Managers etc.
• Acts as a subject matter expert and represents the team or bank at project meetings or industry forums

Inclusiveness

At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

Business Line

Other

Job Category - Primary

Enterprise Data & Analytics

Job Category(s)

Enterprise Data & Analytics

Job Family

Business Insights & Analytics

Time Type

Full Time

Employment Type

Temporary