Job Title: IT – AML Developer IV
Location: Toronto or Markham, ON (Hybrid)
Estimated Duration: 6 Months

Reporting to the Senior Advanced Analytics Manager, the Data Scientist will be conducting all analytical activities related to FCRM transaction monitoring systems. 
Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
Provide maintenance of transaction monitoring scenarios, and analytical queries in support of the bank's strategic efforts to mitigate money laundering and terrorist financing risk
Conduct activities related to AML/ATF scenario performance tuning, machine learning execution and model performance monitoring
Help maintain a structured documentation process to demonstrate an effective scenario review program to satisfy audit, compliance, and regulatory requirements
With assistance from management, assist with transaction monitoring related issues/questions from Global AML members, audit, and other partners
Analytical thought leadership and staying ahead of developments in data mining and the application of data science
Partner with FCRM teams to implement changes to existing solutions and/or the implementation of alternative solutions and serve as an ambassador for data science
Use statistical and machine learning techniques to build and maintain effective and efficient transaction monitoring, customer behavior, and risk scoring models
Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you're doing
Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
Work with various business teams to help identify areas for improvement and provide insights using supporting data and models to support business strategies.

MUST-HAVE Hard Skills:

  • Extensive work experience building predictive models with machine learning methods.
  • Expert knowledge of Python, Pyspark, Data Bricks, Azure and SQL are essential
  • Expert data explorations and analysis skills
  • Ability to apply statistical techniques and data mining tools to solve business problem

SOFT SKILLS:

  • Strong communication skills (written and verbal)
  • Strong interpersonal skills
  • Self-motivated, well organized, able to work both independently and in a team environment
  • Attention to detail and someone who is a self-starter and adaptable

NICE-TO-HAVE

  • Any Data bricks, programming or statistics certifications
  • Java, Scala, tableau
  • AML knowledge and experience on data-driven or data-centered projects
  • Banking or financial institution experience  

The pay range that the employer reasonably expects to pay for this position is between CA$91.00 and CA$101.00

Our voluntary benefits offering includes medical, dental, vision and retirement benefits.

This posting is for an existing vacancy.

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Tundra Technical Solutions is a global workforce and technology delivery firm, ranked by Staffing Industry Analysts as one of the largest in North America. At Tundra, we aren't just hiring top talent at the world's most recognizable brands; we are pioneers of social recruitment. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristics. We welcome and encourage diversity in the workplace.

We use artificial intelligence tools to help our recruiters screen and assess talent. These tools do not replace human decision making in the process.

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