Sr Analyst, Model Development & Validation

Fairstone • Toronto, Ontario, Canada • 11h ago

WHY JOIN US? WE OFFER:

Work-Life Balance: Our 37.5-hour workweek and hybrid model (3 days in-office) promote a healthy balance.
Wellness: Tailored well-being solutions available 24/7.
Development: Access to Fairstone Academy for comprehensive training and skill development.
Develop and validate custom risk management \& marketing models using various modeling techniques including Decision Trees, Logistic Regression, and advanced Machine Learning algorithms
Support operational model implementation by liaising with related parties to ensure the models are deployed accurately and promptly
Support the model validation team to mitigate the model risks. Discovers and diagnoses modeling related risks including input data, assumption, concept, methodology, process, and implementation. Provides subject matter expertise on model's strength and weakness and recommend practical solutions
Discusses validation results with model owners and governance team to gain consensus and create strategies to implement changes if needed
Develop, maintain, and review model monitoring process on ongoing basis
Develop and maintain documentation in preparation for regulatory requirement
Liaise with external partners such as credit bureaus and modeling consultants, to ensure credit bureau data needs and analytic requirements are met
Keep abreast of new statistical and machine learning techniques and tools, and industry best practices to predictive modeling
Provide technical guidance, proactive support, and data-driven recommendations to management from predictive modeling perspective
Communicate and present key findings to both technical and non-technical internal business stakeholders leveraging visualization tools and techniques

WHO ARE WE LOOKING FOR

2 years work experience in analytics and predictive modeling in a financial services industry, preferably in Credit Risk Analytics setting \& 2 years of work experience in SAS and SQL
Bachelor's Degree in quantitative field such as statistics, economics, actuarial sciences, engineering, or mathematics
Demonstrated understanding of credit risk model development, validation and monitoring techniques
Strong data science capabilities, with proven experience in manipulating data using SAS and SQL
Knowledge of statistical techniques and concepts (regression, Bagging \& Boosting, clustering, etc.) with the skill to determine the appropriateness of a technique for a given business problem
Experience working with very large databases, data mining and/or data warehousing
Expert skill level with Microsoft Excel pivot tables, index match functions and Microsoft Access or other database management software
Demonstrated technical expertise with a good understanding of financial products, of industry-specific Risk and Analytics tools and of the credit risk life cycle
Knowledge of and expertise in developing and validating loss forecasting and provisioning models (IFRS9, Basel...) is a strong asset
Experience with AWS data science and modeling tools or Altair knowledge studio are considered an asset
Strong communication skills (oral and written) and the ability to interact with all levels of the organization
Ability to handle multiple projects simultaneously while maintaining quality and meeting expectations in a fast-paced environment
Strong attention to detail and the ability to be flexible and adaptable to a changing environment

Fairstone

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