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1 день назад

Senior Manager, Client Analytics, Private Banking

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Manager, Client Analytics, Private Banking (Data Analytics/Private Banking): Advancing analytics across Private Banking, Family Office, and Ultra High Net Worth segments through client, product, and channel insights with an accent on complex data analysis, reporting, and data-driven business recommendations. Focus on building client profiles, synthesizing findings for senior leadership, and developing tools and insights that support growth and improve client service.

Location: Toronto, ON; hybrid work arrangement with 1–3 days per week on-site and the remaining days remote. Candidates must be legally eligible to work at the specified location and may need a valid work or study permit.

Company

CIBC is a relationship-oriented bank focused on helping clients through modern banking services and data-driven solutions.

What you will do

  • Advance the analytics agenda across Private Banking, Family Office, and Ultra High Net Worth segments through client, product, and channel insights.
  • Partner with leadership, sales, product, risk, and finance to deliver analysis, tools, insights, and recommendations for business growth and improved client service.
  • Lead strategic problem-solving, ad hoc analyses, and complex data analysis using multiple data sources.
  • Develop and maintain client and product profiles for ongoing reporting and ad hoc analysis.
  • Develop, maintain, and enhance value-added reporting.
  • Provide thought leadership on tools, data, and collaboration with key partners.

Requirements

  • Demonstrated data analytics skills with large sets of structured and unstructured data.
  • Strong hands-on experience with Python, SQL, and Power BI, including interpreting data and transforming it into business insights.
  • Experience or exposure to Databricks, Alteryx, and R.
  • Graduate degree in mathematics, computer science, electrical and computer engineering, or a related quantitative field.
  • Ability to investigate complex problems; gather, synthesize, organize, and interpret data to formulate insights, options, and recommendations.
  • Strong communication skills and the ability to communicate detailed findings effectively to varied audiences.
  • Critical thinking, attention to detail, adaptability to evolving technologies, and the ability to adopt new tools and trends.
  • Ability to build relationships with clients and partners and identify appropriate solutions.

Culture & Benefits

  • Hybrid work environment designed to support flexibility and effective performance.
  • Competitive salary, incentive pay, banking benefits, and a benefits program subject to plan terms.
  • Defined benefit pension plan and employee share purchase plan, subject to plan terms.
  • Vacation offering, wellbeing support, and a social recognition program.
  • Paid Purpose Day for personal growth and development.
  • Inclusive and accessible candidate and employee environment.

Hiring process

  • An attribute-based assessment and other skills tests may be required, including simulation, coding, or French proficiency assessments.
  • Artificial intelligence tools may be used during recruitment.

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