Senior AML Data Scientist: Transaction Monitoring

ODAIA

Toronto

On-site

CAD 130,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Comprehensive total rewards program
Coaching and development opportunities
World-class training program

Job summary

RBC is seeking a Lead Data Scientist for Global AML Transaction Monitoring in Toronto. You will develop and tune AML–ATF monitoring models, identify suspicious activity, and analyze data to assess client risk, aligning with regulatory expectations and enterprise standards.

You will collaborate across Monitoring & Analytics teams and with business partners to enhance the monitoring program, apply new technologies, and deliver valuable intelligence for the Global AML program.

Qualifications

  • 5+ years of experience conducting in-depth data analytics.
  • University or Master degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, or related quantitative field).
  • Expertise in analyzing and manipulating large datasets with Python and Scala/Spark.
  • Proficiency with SQL, Hive databases and GitHub.
  • Strong capability in exploratory data analysis and feature development.
  • Understanding of AML and Financial Crime Fundamentals.
  • Strong communication skills to explain model risk analytics to diverse stakeholders.
  • Ability to translate project needs into detection models.

Responsibilities

  • Develop, tune, and maintain AML Transaction Monitoring ML and rule-based solutions.
  • Develop new AML Transaction Monitoring solutions using data science techniques.
  • Create model validation-ready documentation and monitoring methodology.
  • Document model performance metrics and provide recommendations to leadership.
  • Collaborate with Director to prioritize monitoring solution development.
  • Coordinate with Monitoring & Analytics teams to address risk.
  • Work with business partners to improve effectiveness of monitoring program.
  • Explore new technologies for AML analytics and stay updated on best practices.

Skills

Python
Scala/Spark
Data Science
Machine Learning
NLP
Data Mining
Predictive Analytics
Decision Making
Analytical Thinking
Communication

Education

University or Master degree in an analytical field

Tools

SQL
Hive
GitHub
Python

Job description

RBC is seeking a Lead Data Scientist for Global AML Transaction Monitoring in Toronto. You will develop and tune AML–ATF monitoring models, identify suspicious activity, and analyze data to assess client risk, aligning with regulatory expectations and enterprise standards.

You will collaborate across Monitoring & Analytics teams and with business partners to enhance the monitoring program, apply new technologies, and deliver valuable intelligence for the Global AML program.

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