AML Data Scientist
- Permanent
- Temporaire
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