Analyste II, Information commerciale
@ TD

Toronto, ON
CA$100,000
On Site
Full Time
Posted 6 hours ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXX****** @td.com
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Job Details

Overview

TD is seeking an Analyste II, Information commerciale to join their Canadian Fraud Performance Management Team in Toronto, Ontario, Canada. The role involves mining big data to discover fraud insights and developing fraud strategies in a fast-paced, evolving environment.

Key Responsibilities

  • Develop and deploy product and channel-specific fraud strategies.
  • Utilize SQL, Python, and fraud authentication solutions to optimize rules.
  • Conduct intra-day and weekly monitoring across multiple risk segments.
  • Provide ad-hoc analysis to support executive decision-making.
  • Investigate emerging high-risk fraud threats under tight timelines.

Experience and Qualifications

Candidates should have advanced proficiency in SQL and Python, 2+ years of analytical experience, and a degree in a technical domain such as computer science, engineering, mathematics, or statistics.

  • Experience in fraud management is a plus.
  • Automation, machine learning development and deployment experience is an asset.

About TD

TD is a global financial institution and the fifth largest bank in North America, committed to growth, development, and delivering an exceptional client experience. TD offers comprehensive remuneration programs, extensive training, mentoring, and career development opportunities.

Key skills/competency

  • SQL
  • Python
  • Data Analysis
  • Fraud Strategy
  • Big Data
  • Automation
  • Monitoring
  • Analytical Thinking
  • Machine Learning
  • Data Visualization

How to Get Hired at TD

🎯 Tips for Getting Hired

  • Customize your resume: Align skills with SQL, Python, and fraud analysis.
  • Research TD's culture: Review their mission and recent news.
  • Practice technical questions: Focus on data analysis and automation tasks.
  • Prepare for behavioral insights: Reflect on teamwork and independent work experiences.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query techniques
Practice Python data scripts
Study fraud detection algorithms
Familiarize with big data tools

Behavioral Questions

Describe a time you worked independently.
Explain managing multiple priorities simultaneously.
Share an example of team collaboration.
Discuss adapting under tight deadlines.

Frequently Asked Questions