Please be advised that our Careers site will be unavailable from November 28 at 12am ET to November 29 12am ET for scheduled system maintenance.

Title:  Senior Manager, Global CIAM Fraud Analytics & Insights

 

 

 

Requisition ID: 229427

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

 

In the role of Senior Manager, Global CIAM Fraud Analytics & Insights you will lead and support the team in analytics and provide insights supporting and informing strategy, projects, road map prioritization and detection of CIAM and client journey vulnerabilities. You will work with Fraud and Business Partners across all business lines, channels and products globally to ensure business strategies, plans and initiatives are executed in a manner that will prevent Fraud attacks, minimize fraud risk exposure and downstream impacts to Clients, Business Teams and Operations. You will build and optimize reporting, dashboards and analytic strategies to generate insights for Global CIAM Fraud Strategy & Solutions that will prevent Fraud attacks, minimize fraud risk exposure and downstream impacts to Clients, Business Teams and Operations.    

 

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

  • Responsible and supports the design and development of the Bank’s Global CIAM Fraud Strategy & Solutions risk detection and assessment process of strength and effectiveness of solutions and controls at client onboarding and authentication
  • Supports development of strategy to onboard existing and new data feeds to build dashboards and generate insights to assess client onboarding and authentication journeys globally against fraud and fraud related risk factors
  • Defines and tracks Key Performance Indicators (KPIs) related to Client Identity and Access Management (CIAM) and reports regularly on performance and effectiveness
  • Develops and maintains interactive dashboards for data driven insights and visibility into CIAM fraud risks, trends and patterns including feedback on efficacy of CIAM solutions and Fraud controls across all channels globally
  • Transforms data and information into insights that inform strategic advisory activities, strategic decision making (including projections and forecasts utilizing statistical modelling) and tactical response to incidents
  • Establishes close working relationships with Partner teams globally (Business and Engineering) to advance Global Fraud Management and Global CIAM Fraud Strategy & Solutions priorities, projects and strategies
  • Responsible for documentation of analytics and reporting related requirements supporting Global CIAM Fraud Strategy & Solutions

                                                     

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

  • 5+ years working experience in data analysis, data management and reporting is required
  • University education in Business, Computer Sciences, Electrical/Computer/Software Engineering, Mathematics or equivalent experience is an asset
  • Proven experience cleaning, transforming and visualizing large data sets working with various data formats (ex. Enterprise Data Warehouse, unstructured logs, XML, JSON, flat files, SAS, CSV)
  • Solid knowledge of Data Analysis or manipulation tools used for working with data (ex. SQL, DB2, MySQL, Python, R)
  • Expert knowledge using and implementing visualization tools like PowerBI, Tableau or Qlikview
  • Experience with Big Data ecosystem tools (e.g. Hive, Spark, Google Cloud Platform)
  • Excellent analytical skills. Must be able to interpret and consolidate large amounts of information into actionable recommendations. Uses sound judgment in the creation of analysis, validation, interpretation and presentation of findings.
  • Strong knowledge of Fraud and CIAM is required.  Knowledge and/or experience with Cybersecurity is an asset.
  • Experience in a global Financial Institution or large scale global organization working with retail customer level data is an asset
  • Spanish Fluency is preferred

 

What’s in it for you?

  • A culture that promotes teamwork and cross-functional collaboration to achieve business goals and an inclusive workplace that values diversity of thought, background and experience
  • Perfect for critical thinkers who love to ideate, problem solve and work with a wide-ranging number of business partners and geographies.
  • Opportunity to work with a very enthusiastic team that helps protect our clients against fraud through strategies and solutions to help Keep the Bank Safe
  • Potential to further evolve the function and take on more responsibility based on emerging risks and opportunities
  • Get a great overview of how the Bank operates by joining the Global Operations team in a role that has widespread impact across all major business lines and functions.

 

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.


Job Segment: Analytics, Data Analyst, Data Management, Investment Banking, Software Engineer, Management, Data, Engineering, Finance