Manager, Compliance and AML, Data Analytics

Toronto, ON, CA, M5H1B6

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Requisition ID: 212019

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

 

Reporting to the Senior Manager of Reporting and Analytics, the Manager will contribute to the overall success of our team by working closely with business analysts, data engineers, and analysts to address business opportunities. This role requires an understanding of business needs and requirements, and actively enhancing our analytics and artificial intelligence capabilities. The Manager should have a passion for advanced data analytics, machine learning, and artificial intelligence techniques.

 

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, analytics, and AI models. 

  • Plan and facilitate discussions with business partners to gather business, data source requirements, and use cases in support of advanced analytics and artificial intelligence modeling.

  • Create dashboards to share data insights with the business, builds data features used for modeling, reporting and advanced analytics.  

  • Create supervised and unsupervised models in python and/or scala.

  • Build and maintains proper documentation.

  • 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:

 

  • A university degree or college diploma in a relevant STEM discipline, with experience in analytics and modeling.

  • At least 3-5 years of experience in data science or a related field, preferably within the financial services industry.

  • Hands-on programming experience with Python, and familiarity with core data science libraries such as Pandas, NumPy, scikit-learn, PyTorch, or TensorFlow.

  • Advanced knowledge of SQL.

  • Experience in implementing and managing visualization tools like Power BI or Tableau.

  • Excellent communication skills with a strong customer focus.

  • A strong understanding of advanced modeling techniques and the underlying mathematical fundamentals.

  • Strong problem-solving skills.

  • Experience with Linux and/or HDFS is a strong asset.

  • Experience with Spark and/or Scala is a strong asset.

  • Knowledge of Anti-Money Laundering, Capital Markets, and Compliance is a strong asset
     

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Banking Data Analytics Data pipelines HDFS Linux Machine Learning NumPy Pandas Pipelines Power BI Python PyTorch Scala Scikit-learn Spark SQL STEM Tableau TensorFlow

Perks/benefits: Career development Health care Salary bonus Team events

Region: North America
Country: Canada

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