Data Valorization Analyst, Credit Risk

You’ll be part of a team that’s in charge of quantifying financial risks. You'll play a key role in supporting data scientists and data modellers in their analytical work. Your mission will be to turn raw data into reliable and useable assets by ensuring the quality and availability of the data for mathematical models and strategic analyses. More specifically, you will be required to :

• Define needs by collaborating with data scientists and contributors to understand the analytical objectives and to translate these needs into clear specifications.

• Explore source systems by identifying and documenting relevant internal and external data sources related to credit risk.

• Select and prepare data sets by extracting, cleaning and structuring data to ensure consistency and integrity.

• Contribute to data quality and governance initiatives by implementing controls and indicators to ensure data quality, traceability and compliance with internal and regulatory standards.

• Document and communicate by producing clear and rigorous documentation on flows, transformations and applied rules to facilitate understanding and reuse.

• Deliver data by providing reliable and complete data sets on time, while respecting the deadlines for modelling projects.

  Propose solutions by enhancing the valorization processes and anticipating future data needs.

What we offer*

• Competitive salary and annual bonus

• 4 weeks of flexible vacation starting in the first year

• Defined benefit pension plan that provides predictable, stable income throughout retirement

• Group insurance including telemedicine

• Reimbursement of health and wellness expenses and telework equipment

* Benefits apply based on eligibility criteria.

#LI-Hybrid

What you bring to the table

• Bachelor’s degree in IT, data science, statistics, business intelligence or a related field

• A minimum of six years of relevant experience in data management and data valorization, ideally in a financial or financial risk management context

• Please note that other combinations of qualifications and relevant experience may be considered

• Knowledge of French is required

• Intermediate knowledge of English due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients

• Proficiency in data mining techniques

• Proficiency in data handling tools and data manipulation languages: SQL, and ideally SAS

• Knowledge of credit risk concepts and regulatory standards (IFRS9, Basel)

Trade Union (If applicable)

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

Job Family

Unposting Date