Business Insights Analyst II

TDToronto, ON
CA$81,600 - CA$115,200Onsite

About The Position

Join the Canadian Fraud Performance Management Team as a Business Insights Analyst II. This role is ideal for individuals passionate about analytics and big data, who want to drive change and become subject matter experts in fraud management. You will be responsible for mining big data to discover actionable fraud insights and develop/implement fraud strategies in a fast-paced environment. The role involves managing evolving fraud threats while considering TD's risk appetite, customer, and operational experience. With a strong technical and analytics background, you will learn to manage 1st and 3rd party fraud.

Requirements

  • Advanced proficiency in SQL, Python for data analysis, automation, and reporting
  • 2+ years of hands-on experience in an analytical capacity
  • Motivated to constantly strive to find innovative data-informed ways to enhance capabilities
  • In-depth knowledge of data science tools such as NumPy, pandas, matplotlib or R equivalent
  • Ability to communicate strategy analysis to both technical and non-technical team members
  • Passion and drive to take initiative and work independently under tight timelines
  • Ability to effectively manage multiple work streams and tasks at the same time
  • Undergraduate degree from a technical domain (e.g. computer science, engineering, mathematics, or statistics)

Nice To Haves

  • Experience in fraud management is an asset
  • Machine learning development and deployment is an asset
  • Automation experience is an asset

Responsibilities

  • Develop and deploy product and channel-specific fraud strategies to reduce fraud risk balancing loss, Customer experience and operational capacity
  • Identify new fraud vectors and optimize existing rules using SQL, Python, and fraud authentication solutions
  • Conduct intra-day and weekly monitoring across products, channels, and risk segments
  • Provide ad-hoc analysis to support decision-making at the executive level
  • Continually optimize, improve, and strengthen fraud strategy and analytics capabilities
  • Independently investigate new, high-risk fraud threats under tight timelines

Benefits

  • health and well-being benefits
  • savings and retirement programs
  • paid time off
  • banking benefits and discounts
  • career development
  • reward and recognition programs
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