Requisition ID: 204510

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

We are seeking a highly analytical and skilled Data Scientist to join our team. The ideal candidate will have a strong background in data analysis, statistical modelling, and machine learning. The Data Scientist will be responsible for designing, enhancing, and implementing data-driven solutions supporting the Bank's AML Client Risk Rating (CRR) models.  This role contributes to the overall success of Global Compliance and AML Team by analyzing and improving CRR models thereby enhancing operating efficiency and is conducted in compliance with governing regulations, internal policies, and procedures.

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

•    Apply 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
•    Work on the creation and maintenance of documentation for models and for the 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 the communication with first and second lines of business and other stakeholders, and recommending changes to AML Client Risk Rating models as appropriate
•    Support the communication with model users to ensure that model limitations are properly understood, and that models meet model governance/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 related
• Fluency in both English and Spanish is preferred
• Experience with statistical modeling and data science methods; programming in Python (familiarity working 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 (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

What's in it for you?

In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
You'll be part of a diverse, collaborative, innovative, and high-performing team
We offer a competitive rewards package:
Performance bonus, Employee Share Ownership Program, and Pension Plan Matching
Health Benefits from day one!
You will relish work-life balance, team events, and opportunities to participate in the community.
Your career matters!  You will have access to career development and progression opportunities.

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.