Title:  Data Scientist, AML Models and Analytics - Client Risk Rating

Requisition ID: 253787 

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Data Scientist contributes to the overall success of the Global Compliance and AML team by analyzing and improving CRR models, thereby enhancing operating efficiency, and ensuring all work is conducted in compliance with governing regulations, internal policies, and procedures. This role will be responsible for designing, enhancing, and implementing data-driven solutions supporting the Bank's AML Client Risk Rating (CRR) models.

The ideal candidate will have a strong background in data analysis, statistical modelling, and machine learning.

Is this role right for you? In this role, you will:

• Apply a range of modeling techniques, from basic statistical models to AI and Machine Learning, to develop, maintain, and implement models for Client Risk Rating case generation in support of Scotiabank’s AML program
• Create and maintain documentation for models and results data analysis
• Collaborate and coordinate with teams from model validation, internal audit, and external audit to ensure that models meet all legal and regulatory requirements
• Communicate complex data findings and insights to technical and non-technical stakeholders
• Support communication with first and second lines of business and other stakeholders, and recommend changes to AML Client Risk Rating models as appropriate
• Support communication with model users to ensure that model limitations are properly understood and that models meet model governance and usage requirements

Do you have the skills that will enable you to succeed? We’d love to work with you if you have experience with:

• Bachelor’s degree or higher within STEAM (Science, Technology, Engineering, Analytics, or Mathematics), statistics, data science, artificial intelligence, computer science, computer engineering, financial modelling, or a related field
• Experience with statistical modeling and data science methods; programming in Python (familiarity with popular libraries for data science, machine learning, and visualization such as NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, ggplot2); querying using SQL or any SQL‑like language is preferred; experience with Apache Spark is beneficial
• Experience with databases such as Oracle or SQL Server, as well as big data technologies such as Hadoop, Hive, Spark, or other distributed computing frameworks (e.g., BigQuery)
• Experience with cloud-based infrastructure and tools (specifically GCP) and either Linux and/or Bitbucket is beneficial
• Nice-to-have experience with deep learning frameworks such as TensorFlow, Keras, PyTorch, or Vertex AI
• Strong communication (both oral and written) and collaboration skills, with the ability to work effectively in a hybrid team environment
• Fluency in both English and Spanish is preferred

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.