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National Bank

Senior Data Scientist

Montreal,QC
  • To be discussed
  • 1 position to fill as soon as possible

A career as a Senior Data Scientist in the Transformation Unit of the Risk Modelling and Strategies (RMS) team It means helping to transform the RMS team's business capabilities by developing decision-making strategies that maximise the value of our new decision-making ecosystem and that bring gains on our performance indicators (automation/profitability/risk management).

Origination decision-making strategies are intended to automate the eligibility decision and credit limit assignment of credit applications based on data from View 360 and the credit bureau in order to optimise the Bank's capital allocation.


Your job:

  • Develop statistical models and decision-making strategies for credit card origination.
  • Draft the documents needed to approve their strategy
  • Explain and influence partners (project squad, business line, risk management, it) in order to clearly communicate strategic recommendations.
  • Work closely with the members of the RMS Transformation team to ensure the availability of explanatory data, the implementation of the algorithm in the decision engine, and the performance monitoring of decisions rendered.


Your team:

The RMS team is made up of 8 dynamic credit risk specialists with various profiles (Data Scientists, Data Stewards, Data Engineering Specialists, Business Analysts). As part of the large RMS team of more than 35 specialists in advanced analytics, we are a transformation unit responsible for implementing the target decision-making ecosystem for managing credit decisions. This includes setting up a data foundation for the target, integrating the new decision-making engine, and developing future models and strategies. You will report to the Senior Manager - Transformation - modelling and risk 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.


Prerequisite :

  • Bachelor's or master's degree in a quantitative field, 2 to 3 years of modelling experience, decision-making strategies or any other relevant role in data science
  • Proficiency in statistical/econometric models
  • Business understanding of credit risk management
  • Business understanding of the credit card product
  • Proficiency in advanced analytics tools (Databricks, Snowflake, SQL/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.    * 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 * Opportunities to get involved in community initiatives * Telemedicine service * Virtual sleep clinic    These are a few of the benefits available to you. 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 actively listen to employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication is encouraged.   We're putting people first 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 peoples' lives. Our core values of partnership, agility, and empowerment inspire us, and inclusivity is central to our commitments. We offer a barrier-free workplace that is accessible to all employees.     We want our recruitment process to be fully accessible. If you require accommodation, feel free to let us know during your first conversations with us. We welcome all candidates! What can you bring to our team?    Come live your ambitions with us!

    Work environment

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    Requirements

    Level of education

    undetermined

    Diploma

    undetermined

    Work experience (years)

    undetermined

    Written languages

    undetermined

    Spoken languages

    undetermined

    Internal reference No.

    28081