AML Data Scientist

Toronto, ONTARIO, CA • Posted 5 hours ago • Updated 5 hours ago
Contract W2
On-site
$84 - $92/hr
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Fitment

Dice Job Match Score™

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Job Details

Skills

  • Analytics
  • Data Science
  • Advanced Analytics
  • Computer Science
  • Software Engineering
  • Data Mining
  • Statistics
  • Java
  • Scala
  • Tableau
  • AML
  • Finance
  • Banking
  • Financial Services
  • Python
  • PySpark
  • Databricks
  • Microsoft Azure
  • SQL
  • Machine Learning (ML)
  • Modeling
  • Management
  • Collaboration
  • Artificial Intelligence
  • Recruiting

Summary

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 892355
  • Posted 5 hours ago

Company Info

About Motion Recruitment Partners, LLC

Motion Recruitment delivers IT Talent Solutions for Contract, Direct Hire, Managed Solutions and Statement of Work to all of North America from our 21 delivery centers. Our high-touch, specialized, team-based recruitment model’s success is proven through our exemplary track record in filling the most challenging IT positions for startup and enterprise clients alike. Our hyper-specialized tech focus results in a truly consultative approach for both our clients and candidates, within our recruiting areas of expertise: Software, Mobile, Data, Infrastructure, Cybersecurity, Product + UX and Functional.

Motion also delivers IT Consulting Solutions through the Motion Consulting Group (MCG) that create true digital transformation for IT projects in Agile Development & Coaching, DevOps & DevSecOps Solutions, and Managed Services for IT Operations.

We’re also the proud creators of Tech in Motion and the Timmy Awards, our North American community platform, events series and award program that connects over 250,000 tech enthusiasts to meet, learn, and innovate.

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