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  • Emplois similaires à : Senior Data Scientist
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Senior Data ScientistNational Bank • Montreal, Québec, Canada
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Senior Data Scientist

National Bank
  • CA
    Montreal, Québec, Canada
  • CA
    Montreal, Québec, Canada
Postuler Maintenant

À propos

A career as a Senior Data Scientist in the modelling and risk strategies team It means using behavioural data to develop limit management decision-making strategies to support business line growth objectives as well as projects to develop risk modelling practises at the Bank.


Your job:

  • Develop statistical models and decision-making strategies in a business context for consumer loans. Strategies aim to make the best decision based on credit risk in order to maximise the profitability of the model.
  • Communicate and document the progress of your work in an agile way in project follow-up workshops with our partners in risk management and business lines
  • Draft the documents needed to approve strategies.
  • Implement strategies and coordinate with our it manager to implement strategies and carry out acceptance tests
  • Frequently assess the performance of the models/strategies implemented and present recommendations for better risk optimisation and loans in Champion/Challenger mode.

Your team:


Join a dynamic team of 12 advanced analytics specialists. We are responsible for all modelling activities and risk strategies for credit cards, retail financing and SMEs. We cover credit origination and life cycle activities. You will report to the Senior Manager - risk models and strategies.


Our goal is to offer you maximum flexibility in your work to promote your quality of life. This includes hybrid work in the office and remotely, working hours to reconcile work and personal life, and flexible leave at times that matter.


The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, Language Training, the Harvard Learning Centre and coaching and mentoring support are available to you at any time.


Prerequisites:

  • Bachelor’s or master’s degree in a quantitative field, 2 to 3 years of experience in modelling, decision-making strategies or any other relevant role in data science
  • Proficiency in retail credit products and risk management
  • Proficiency in statistical/econometric and machine learning models
  • proficiency in SAS/SQL statistical programming tools (R or Python).

Your benefits

In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:


* Health and wellness program, including many options

* Flexible group insurance

* Generous pension plan

* Employee Share Ownership Plan

* Employee and family assistance program

* Preferential banking services

* Involvement in community initiatives

* Telemedicine service

* Virtual sleep clinic


We have an offer that keeps up with trends as well as your needs and those of your family.


Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged.


Making a bold move in a people-first environment

We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.


We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?


Join us!

  • Montreal, Québec, Canada

Compétences linguistiques

  • English
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