Data Scientist - Financial Crime Risk Validation

TD; Toronto; On-site; CAD 77,000 - 115,000; Full time

Job summary

TD's Model Validation group in Enterprise Risk validates analytical models used for the bank, reporting to the Senior Manager, Model Validation. The role focuses on AML, Insider Risk, and Trading Surveillance, performing validation testing and delivering reports to support regulatory review.

The ideal candidate has ML/AI expertise, 2+ years in AML/FCRM modelling, and strong Python/Scala/H2O.AI skills, with excellent communication and project management abilities. Toronto-based role.

Qualifications

• Post‑secondary degree in CS, statistics, mathematics, financial engineering or engineering.
• In‑depth knowledge of ML/AI and AI Graph / Network analysis.
• 2+ years in AML / FCRM model development or validation, with exposure in AI/ML modelling.
• Proficient in Python, H2O.AI, Scala.
• Excellent verbal and written communication skills.
• Excellent time / project management with minimal supervision.

Responsibilities

• Validates Financial Crime Risk Management (FCRM) models including AML, Insider Risk, and Trading Surveillance.
• Conduct validation testing and analysis for different FCRM models under Senior Manager or Manager supervision.
• Communicate with stakeholders from 1st line to discuss model limitations/issues.
• Deliver high-quality model validation reports to support conclusions and regulator reviews.
• Keep up-to-date with AI/ML developments in FCRM modelling.
• Develop validation testing tools/programs for advanced AI/ML FCRM models.

Skills

ML/AI knowledge

Communication skills

Teamwork

Education

Post‑secondary degree in CS/Stats/Math/FE/Engineering

Tools

Python

H2O.AI

Scala

Job description

TD's Model Validation group in Enterprise Risk validates analytical models used for the bank, reporting to the Senior Manager, Model Validation. The role focuses on AML, Insider Risk, and Trading Surveillance, performing validation testing and delivering reports to support regulatory review.

The ideal candidate has ML/AI expertise, 2+ years in AML/FCRM modelling, and strong Python/Scala/H2O.AI skills, with excellent communication and project management abilities. Toronto-based role.