Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
TD

Data Scientist II

TD

. Mine big data to discover actionable fraud insights .

Posted 10/2/2026full-timeToronto • CanadaJuniorMid-Level💰 CA$81,600 - CA$115,200 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced proficiency in SQL and Python for data analysis and automation, with a strong focus on developing and optimizing fraud strategies. Capable of conducting thorough analyses and communicating insights effectively to both technical and non-technical stakeholders.

Highest-signal resume keywords
Advanced Proficiency In SQLAdvanced Proficiency In PythonFraud Management ExperienceData Science Tools KnowledgeMachine Learning Development

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisAutomationReportingFraud Strategy DevelopmentFraud Risk ReductionAd-Hoc AnalysisIntra-Day MonitoringWeekly MonitoringOptimizationInvestigation Of Fraud Threats
Soft Skills
CommunicationIndependent WorkTime ManagementMulti-Tasking
Tools & Technologies
NumPyPandasMatplotlibR EquivalentFraud Authentication Solutions
Industry Keywords
Fraud InsightsFraud VectorsOperational CapacityCustomer ExperienceThird-Party Fraud

Tech Stack

Tools & technologies
NumpyPandasPythonSQL

About the role

Key responsibilities & impact
  • Mine big data to discover actionable fraud insights
  • Develop and deploy product- and channel-specific fraud strategies
  • Reduce fraud risk while 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 executive-level decision-making
  • Continually optimize, improve, and strengthen fraud strategy and analytics capabilities
  • Independently investigate new, high-risk fraud threats under tight timelines
  • Learn and manage first- and third-party fraud

Requirements

What you’ll need
  • Advanced proficiency in SQL and Python for data analysis, automation, and reporting
  • 2+ years of hands-on experience in an analytical capacity
  • In-depth knowledge of data science tools such as NumPy, pandas, matplotlib or R equivalent
  • Ability to communicate strategy analysis to technical and non-technical team members
  • Ability to work independently under tight timelines
  • Ability to manage multiple work streams and tasks simultaneously
  • Undergraduate degree from a technical domain such as computer science, engineering, mathematics, or statistics
  • Experience in fraud management is an asset
  • Machine learning development and deployment is an asset
  • Automation experience is an asset

Benefits

Comp & perks
  • Health and well-being benefits
  • Savings and retirement programs
  • Paid time off
  • Banking benefits and discounts
  • Career development
  • Reward and recognition programs
  • Regular development conversations
  • Training programs
  • Online learning platform
  • Mentoring programs
  • Training and onboarding sessions
  • Accessibility accommodations during the interview process