Jr. Modelling/Forecasting Analyst - 55403
S.i. Systèmes
Toronto, ON-
Nombre de poste(s) à combler : 1
- Salaire À discuter
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Emploi Contrat
- Publié le 3 juin 2025
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Date d'entrée en fonction : 1 poste à combler dès que possible
Description
Business Unit: Rsk Model Development
Duration: 5 Months
Interview Process: 1 round - Virtual 1 hr
Work Location: Hybrid - (ANY 2 days a week)
CANDIDATE PROFILE DETAILS:
Years of experience: 1-5 years of exp (new grads)
Reason for request/why opened: additional - workload
% Interaction with Stakeholders: 25%
Team Size: 9
Project: ongoing project
Selling Point of the position: good opportunity to get relevant exp in quantitative team
How will performance be measured: accuracy of writing code and speed
Best vs Average Candidate: graduate degree in quant discipline
SUMMARY OF DAY-TO-DAY RESPONSIBILITIES:
The NRMD group is hiring a Modelling/Forecasting Senior Analyst to develop, enhance, and implement credit risk models for non-retail portfolios. Detailed responsibilities are as follows:
• Develop PD, LGD and UGD models for DFAST, EWST, CECL and IFRS9 usage;
• Design econometric models to explore relationships between credit losses and the macroeconomic environment;
• Design mathematical and statistical algorithms to enhance existing models;
• Conduct applied research for credit risk modeling;
• Perform ad hoc analyses as required by management and other business partners;
• Participate in design, planning, implementation and testing of various modeling initiatives;
• Collaborate with non-retail teams and participate in cross-functional projects as needed;
• Produce and maintain well-articulated documentation on above;
• Write and maintain robust code for performing the above functions.
MUST HAVE:
• Strong background in data-driven statistical modeling, supervised learning, unsupervised learning and discriminative models.
Strong theoretical and numerical background.
• Programming experience in SAS, Python or MATLAB is strongly preferred.
• Knowledge of coding standards and object-oriented programming.
• Experience working with relational databases and SQL.
• Strong interest and ability to undertake applied research.
Exigences
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