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9 дней назад

Manager, Analytics CAM (Machine Learning)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Manager, Analytics CAM (Machine Learning): Developing advanced analytics, reporting, and predictive modelling for collections operations with an accent on statistical modelling, data mining, machine learning, and performance metrics. Focus on building data science solutions, optimizing collection strategies, identifying operational improvements, and translating complex analysis into recommendations for senior management.

Location: Toronto, ON, Canada; Job location: Toronto-141 Bay, 17th Floor. Legal eligibility to work at the specified location is required, with a valid work or study permit where applicable. The work arrangement, including the proportion of on-site and remote work, will be discussed during the interview.

Company

CIBC is a relationship-oriented bank focused on helping clients and using analytics to improve banking operations.

What you will do

  • Provide advanced consulting advice, research, insights, and recommendations for collections operations and Client Account Management.
  • Conduct deep data analysis, develop benchmarks and thresholds, and communicate performance metrics.
  • Apply statistical modelling, data mining, machine learning, and advanced analytical techniques to solve business problems.
  • Lead data and reporting projects aligned with CIBC strategy, business goals, objectives, and key performance indicators.
  • Identify enhancements to automated systems and processes that improve the efficiency and effectiveness of collections operations.
  • Manage relationships with Data and Reporting partners and other internal and external stakeholders.

Requirements

  • Skills in programming languages and modern big data and analytical tools, including SAS, SQL, Python, R, Hadoop, Spark, Alteryx, and Databricks.
  • Experience with collections and/or risk management data, including early-stage, mid-stage, late-stage, and dialer collections processes.
  • Proficiency in machine learning and advanced modelling, including predictive models and advanced statistical methodologies.
  • Experience applying and developing data science solutions to solve complex business problems and optimize strategies and outcomes.
  • Ability to mentor analytics teams and work autonomously using independent judgment.
  • Exceptional problem-solving, decision-making, verbal communication, writing, and business documentation skills.
  • Knowledge of IT environments and business process integration.
  • Legal eligibility to work at the specified location and a valid work or study permit where applicable.

Culture & Benefits

  • Competitive salary, incentive pay, banking benefits, and a benefits program.
  • Defined benefit pension plan, employee share purchase plan, vacation offering, and wellbeing support.
  • Recognition through the MomentMakers social, points-based program.
  • Paid Purpose Day for personal growth and development.
  • Inclusive and accessible work environment with accommodation available during the hiring process.

Hiring process

  • Work arrangement details will be discussed during the interview.
  • An attribute-based assessment and other skills tests, such as simulation, coding, or French proficiency testing, may be required.
  • Artificial intelligence tools are used during recruitment.

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