Manager - Financial Analytics

You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

Job description (heading) / Description du poste (titre)

• This role is expected to be part of a newly developed Cost Management function. A part of this function includes a Data Analytics team that will drive a better and more fulsome understanding of cost levers in Canada identifying areas of opportunity, cost containment/reduction. At a minimum this team, including this role will be self-funding on an annual basis, and ideally generate 10x savings per annum. This role is expected to apply strong expertise in data science and Visualization through leading data collection & mining, data analysis, data visualizations, and predictive/prescriptive modeling efforts to build, test, and maintain analytics solutions which meet key business needs.

Preferred skills (heading) / Comptences particulires (titre)

• Strong background in statistical modelling and experience with machine learning / data mining tools such as Python, SQL, Advance Excel. High expertise in implementing machine learning and AI models.
• Strong visualization skills in Tableau

Qualifications (heading) / Comptences (titre)

• B.Tech/M.Tech/MBA

Responsibilities (heading) / Responsabilits (titre)

• Lead multifaceted Cost Management analytic studies against large and small volumes of data for a variety of problems including projections, classifications, clustering, pattern analysis, simulations
• Co-develop an analytics roadmap for the business domain to which you are assigned
• Where needed, generate experiments on data using the scientific method
• Effectively communicate recommendations derived from the analytics approach and how it will meet and address objectives to business partners
• Explain principles and approaches to business partners and senior management in a non-technical manner

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