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Title:  Director, Applied Analytics


Requisition ID: 12755


The Digital Factory is an innovation hub with a clear and well-supported mandate to transform the way banking technology is delivered, by re-imaging the customer experience, to deliver new digital value propositions. We have the support and experience of one of the world’s largest banks behind us and a talented, and growing, team of industry leaders driving us forward.
Do you want to help us reinvent how people bank? At the Scotiabank Digital Factory, we are passionate about transforming the customer experience.

We’re looking to fill our team with influencers, makers, creators and leaders who are flexible, curious, adventurous, versatile and responsive; and who are ready to roll up their sleeves in a collaborative and productive environment to get things done.

By joining our team, you will make an impact on our customers, the banking industry, and ultimately, the world.


About the Director, Applied Analytics

The Director, Applied Analytics leads the strategic direction for embedding all the analytics capabilities built by and/or available to the Bank to the decision-making processes and solution designs that meet customer needs, with emphasis on the digital channels. These capabilities include predictive modeling, machine learning, optimization, and business intelligence. You will actively work on, and manage a team that works on, customer interaction analytics projects and insight generation using statistical analysis, machine learning, data mining and numerical optimization techniques. You are also responsible for championing a decision science focused approach in supporting the Digital Factory initiatives.


What You Will Do:

  • Advanced Analytics, Predictive Modelling, and Machine Learning
    • Lead the predictive analytics team through their development and maintenance of a suite of statistical models that support direct marketing campaigns and real-time customer interactions.
    • Develop and implement advanced analytical work to support revenue generation through sales and digital adoption, loss prevention through fraud detection and access/authentication engine.
    • Implement numerical optimization principles to improve customer-offer selection and the allocation of resources. 
    • Further develop the group’s capabilities to target external prospects in order to acquire net new customers to the Bank. 
    • Develop policies and procedures to monitor model performance and ensure their timely updating.
  • Direct application of traditional and advanced analytics in support of the Digital Factory initiatives
    • Stay current on emerging trends in digital banking and leveraging all the capabilities built by various groups in the analytics community. Analyze customer usage and experience in current digital platforms. 
    • Build machine learning models that support the build of new functionalities and customer experience flows in the digital channels. 
    • Conduct AB testing and define metrics that assess product readiness for full deployment.
  • Partner with business lines and other teams and champion the usage and further development of the test and learn environment to generate improved incremental revenue from customer interactions.
    • Evolve the customer interactions from a predominately campaign model to one that also leverages the “always on” real-time approach.
  • Maintain a robust statistical modelling environment
    • ​​​​​​​Identify data gaps within the analytical environment and lead projects to acquire such information to improve the decision making environment.  Identify and implement procedures to enhance the analytical environment to improve campaign and marketing decision making. Identify, test and implement enhanced statistical (e.g. statistical and optimization) capabilities of the team.
  • Coach and develop team members
    • ​​​​​​​You are responsible for the coaching and training a team of 26 team members (10 direct reports) with respect to personal development as well as analytical skills.
  • Ad hoc assignments or special projects


What You Will Have:

  • Graduate degree statistics, operations research or mathematics or a field strongly leveraging these domains.
  • Minimum seven years of related/relevant experience.
  • Excellent knowledge of digital channels and banking products and marketing processes
  • Strong theoretical knowledge, practical understanding and hands-on experience of statistical, optimization and data mining techniques.
  • Advanced skills Python and/or R
  • Experienced at utilizing credit bureau information and other 3rd-party data sources in conjunction with internal bank information
  • Excellent problem solving and analytic skills; ability to creatively adapt the team’s capabilities to lead to business success.
  • Proven capability of communicating technical concepts, while considering the impact of the message, to business partners.
  • Ability to push, and support, the team to take on new tasks or implement new ways of doing things to better achieve business goals.


Location(s):  Canada : Ontario : Toronto 

As Canada’s international bank, we are a leader when it comes to inclusion. Scotiabankers hail from over 120 countries, speak more than 100 languages and serve over 23 million customers globally. As a highly diverse company, we know that an inclusive environment for employees and customers helps everyone achieve their best. 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. Candidates selected for an interview will be contacted directly.  If you require accommodation during the recruitment and selection process, please let us know. We will work with you to provide a positive recruitment experience.

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