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Data Engineer, Compliance
4 months ago
Is this role right for you?
In this role, you will: Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge. Provide technical and analytical expertise in designing and implementing data pipelines. Plan and facilitate discussions with business clients to gather business, data source requirements, and use cases to support advanced analytics and modeling. Create dashboards to share data insights with the business, builds data features used for modeling, reporting and advanced analytics. Build and maintain proper documentation, data lineage and extract-transform-load (ETL) processes. Maintain a good understanding of the Bank's business strategies, policies, risk management and IT processes and disciplines. Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions. Actively pursue effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk. Champion a high-performance environment and contributes to an inclusive work environment.Do you have the skills that will enable you to succeed? We’d love to work with you if you have experience with:
University degree and/or college diploma in relevant STEM discipline (Computer Sciences, Electrical/ Computer/ Software Engineering, Mathematics). 3+ years of experience in cleaning, transforming and visualizing data sets working from various data formats (e.g., unstructured logs, XML, JSON, flat files). Have hands-on programming experience and advanced knowledge of SQL. Experience with agile methodologies, implementing and managing visualization tools such as Power BI, or Tableau. Excellent communication skills, with a strong customer-focus. Experience with statistical analysis and machine learning with common machine learning libraries in R, Matlab and/or Python.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.