Requisition ID: 238180  

We are committed to investing in our employees and helping you continue your career at Scotiabank. 

The primary purpose of this role is to support the Anti-Money Laundering (AML) and Compliance team by exploring advanced data analytics, machine learning, and artificial intelligence techniques. The primary focus will be maintaining, using, developing and optimizing large jobs. Examples of tasks would include integrating new datasets into our processes, reducing runtime error rates, reducing predictive error rates, configuring and organizing new builds.

Is This Role Right for You? In this role, you will:
• Ensure processes run smoothly and properly
• Improve existing processes
• Write code in Scala, SQL, Python, and Bash
• Run ad-hoc queries on massive datasets
• Analyze model outputs with a critical view to model purpose and stakeholder feedback
• Provide technical expertise and support in the investigation and resolution of AML and compliance-related issues, emphasizing AI model outputs
• Work collaboratively with a talented team of data scientists
• Communicate ideas and insights to peers, managers, and stakeholders to understand model objectives and seek out opportunities for improving processes

• Work closely with stakeholders to understand model objectives and seek out opportunity for improving processes

Do You Have the Skills?
• Spark and scala experience are essential
• Strong Python with familiarity in core data science libraries such as Pandas and Numpy
• Version control familiarity is required
• Linux and HDFS experience are required
• Experience with sk-learn, pytorch, or spark-ml is an strong asset
• Knowledge of Money Laundering, Trading, and Crime are strong assets
• Strong understanding of advanced modelling techniques and underlying mathematical fundamentals is an asset
• Spanish as a language is an asset
• Master's or PhD degree in a STEM field, with experience on modelling projects and code development
OR
• Bachelor’s degree in a STEM field, with experience on modelling projects and code development
• Minimum of 3-5 years of experience in data science or a related field, preferably within the financial services industry

What’s In It for You?
• Champion a high-performance environment and contribute to an inclusive work environment.
• The opportunity to join a forward-thinking organization where you are surrounded by a collaborative team of innovative thinkers.
• A competitive compensation and comprehensive benefits plan.
• An organization committed to making a difference in our communities - for you and our customers.
• You can expect to be recognized and rewarded for high-performance; you will be supported by leadership through meaningful development conversations that enable faster advancement and internal training to support your growth and development.

Location(s):  Canada : Ontario : Toronto 

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

Note: All postings in me@Scotiabank will remain live for a minimum of 5 days.