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 solid 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 fieldBachelor’s degree or higher in Statistics, Computer Science, Software Engineering or a related fieldExtensive experience building predictive models with machine learning methodsExpert knowledge of Python, PySpark, Databricks, Azure and SQLExpert data exploration and analysis skillsProven ability to apply statistical techniques and data mining tools to solve business problemsDesired Skills &
Experience
Master’s degree in a quantitative fieldDatabricks, programming or statistics certificationsJava, Scala and/or TableauAML, transaction monitoring or financial crime experienceBanking or financial services experienceWhat You Will Be Doing