Data Scientist – Financial Crime Risk Management; FCRM

Position: Data Scientist – Financial Crime Risk Management (FCRM)
Line Of Business
Analytics, Insights, & Artificial Intelligence

Work Location:

Toronto, Ontario, Canada

Hours
37.5

Line Of Business
Analytics, Insights, & Artificial Intelligence

Pay Details
76, CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience  compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description
The Model Validation (MV) group in Enterprise Risk, Risk Management is responsible for the independent validation and approval of all analytical models used for TD. The position reports to Senior Manager, Model Validation. Detailed accountabilities include:

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 to support various business initiatives and regulators requirements.

Have effective communication with different stakeholders from 1st line to discuss and solve model limitations / issues identified during the validation process.

Deliver high quality model validation reports with adequate information and justification to support validation conclusions and Audit / regulator review / assessment of validation process and validation analysis.

Maintains professional knowledge of AI / ML techniques and developments in FCRM modeling.

Develops different validation testing tools / programs to assess advanced AI / ML FCRM models

Education & Experience

Post‑secondary degree in one or more of the following areas: computer science, statistics, mathematics, financial engineering, or engineering.

In‑depth knowledge of ML/AI and AI Graph / Network analysis

2 years + Experience in either developing or validating AML / FCRM model with exposure in AI/ ML modelling is an asset.

Proficient in relevant programming languages & software such as Python, H2O.AI, Scala, etc.

Excellent verbal and written communication skills

Excellent time / project management and multitasking skills with minimal supervision.

Customer Accountabilities

Works in a highly interactive, team‑oriented environment with Big Data developers, and analytical experts

Stays current on developments in FCRM modelling

Shareholder Accountabilities

Works closely with key stakeholders to conduct different validations in time to support different business initiatives

Executes on the validation plan to deliver results aligned with enterprise model validation procedures and model risk policy

Employee/Team Accountabilities

Shares knowledge, information, skills, and subject matter expertise among the team;

Collaborates with other functions and teams to complete validation efficiently and in‑time escalated identified issues.

Who We Are
TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a…