AML Data Scientist

Motion Recruitment; Toronto; Hybrid; CAD 90,000 - 120,000; Part time

Job summary

Motion Recruitment in Toronto, ON is seeking a Senior Data Scientist (AML) on a 6-month contract to lead the analytics on transaction monitoring. You’ll build and tune ML models using Python, PySpark, Databricks, Azure and SQL, and own end-to-end delivery with a hands-on approach.

This senior role emphasizes ownership and collaboration; you’ll shape detection rules, define risk scoring, and explore new data-driven techniques to catch financial crime, with potential extension or conversion.

Qualifications

• 8+ years of experience in data science or related field.
• Bachelor’s degree or higher in Statistics, Computer Science, Software Engineering or related field.
• Extensive experience building predictive models with machine learning methods.
• Expert knowledge of Python, PySpark, Databricks, Azure and SQL.
• Expert data exploration and analysis skills.
• Proven ability to apply statistical techniques and data mining tools to solve business problems.

Responsibilities

• Lead analytics on AML transaction monitoring and ML model development.
• Build risk scoring and customer behaviour models for detection.
• Tune detection scenarios and improve modelling approaches.
• Own projects and contribute ideas within a collaborative team.

Skills

Data science

Python

PySpark

Databricks

Azure

SQL

Statistics

Education

Bachelor's degree or higher

Tools

Databricks

Azure

SQL

Job description

Our client, a large financial services organization, is hiring a Senior Data Scientist (AML) for a 6-month contract in Toronto, ON (hybrid). You’ll join a data science team focused on anti-money laundering (AML) transaction monitoring, building and tuning machine learning models with Python, PySpark, Databricks, Azure and SQL. The role may be extended or converted to permanent, depending on business needs and performance.

This is a senior, hands-on role with a lot of room to explore. You’ll be the analytics lead on transaction monitoring work: building risk scoring and customer behaviour models, tuning detection scenarios, and coming up with new data-driven ways to catch financial crime. If you’re a strong ML practitioner who wants to build deep AML and financial crime knowledge, this role is a good way to get it. They’re looking for someone who likes owning their work, brings their own ideas, and does their best work as part of a team.

Contract Duration : 6 Months (extensuon and conversion possible)

Required Skills & Experience

• 8+ years of experience in data science, advanced analytics or a related field
• Bachelor’s degree or higher in Statistics, Computer Science, Software Engineering or a related field
• Extensive experience building predictive models with machine learning methods
• Expert knowledge of Python, PySpark, Databricks, Azure and SQL
• Expert data exploration and analysis skills
• Proven ability to apply statistical techniques and data mining tools to solve business problems

Desired Skills & Experience

• Master’s degree in a quantitative field
• Databricks, programming or statistics certifications
• Java, Scala and/or Tableau
• AML, transaction monitoring or financial crime experience
• Banking or financial services experience

What You Will Be Doing

Tech Breakdown

• 35% Python / PySpark
• 25% Databricks / Azure
• 20% SQL
• 20% Machine Learning & Statistical Modelling

Daily Responsibilities

• 60% Hands On
• 10% Management Duties
• 30% Team Collaboration

Current Vacancy: Yes

Use of AI in hiring: Yes