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Title:  Data Science Senior Manager

 

 

 

Requisition ID: 167248

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

 

 

As a Data Science Sr Manager, Fraud Innovation & Analytics you will contribute to the overall success of the Fraud Management Group Globally ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives.  Ensures all activities conducted follow governing regulations, internal policies, and procedures.

 

What your role will be:

 

  • Collaborate with stakeholders including Operations, Analytics and Data Science partners, as well as Scotia Digital and IT&S partners to identify opportunities and drive business value in reducing fraud risks by leveraging Data Science
  • Leverage distributed computing tools (e.g., Beam, BigQuery, Hive, Spark) for analysis, data mining and modeling
  • Collaborate with technology / engineering, analytics, and operational teams to deploy fraud detection and prevention models and algorithms in production across different products and channels
  • Create and apply model validation strategies to measure model effectiveness, conduct A/B testing, and make ongoing enhancements
  • Prepare detailed documentation to outline data sources, models and algorithms used and developed
  • Present results to business line stakeholders and help implement real data-driven changes
  • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge
  • Leverage Scrum framework for iterative and incremental agile development of machine learning product features, participate in sprint review, planning, and daily scrum ceremonies
  • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions

Skills you already have:

 

  • Post-secondary degree in relevant STEM discipline (Computer Science, Electrical/Computer/Software Engineering, and Statistics/Mathematics) and/or 2+ year similar hands-on experience preferred
  • Experience with machine learning, statistical techniques, as well as model testing and validation
  • Experience cleaning, transforming, and visualizing large data sets working with various data formats (e.g., unstructured logs, XML, JSON, flat files, audio, image)
  • Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
  • Programming skills in Python, Java, or Scala
  • Hands-on experience with Big Data ecosystem tools (e.g., Beam, BigQuery, Hive, Spark) preferred
  • Experience with UNIX tools and shell scripting preferred
  • Expertise with Docker or Kubernetes is an asset
  • Experience with various services on Google Cloud Platform is an asset
  • Experience deploying models into productions as streaming application, Rest APIs, batch jobs or dashboards is an asset
  • Experience with Deep Learning architectures like RNNs and CNNs is an asset
  • Experience using and implementing visualization tools is an asset
  • Knowledge of industry trends regarding fraud and experience in fraud detection and prevention is an asset
  • Experience working with cross-functional team in an Agile environment is an asset
  • Strong verbal, written, presentation & communication skills
  • Proactive, organized, excellent analytical and problem-solving skills

 

 

 

 

 

 

 

 

                                                                                                                                                     

 

Location(s):  Canada : Ontario : Toronto || Canada : Ontario : North York 

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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