Data Scientist, Model Risk

4 weeks ago

Oakville ON, Canada Sagen Full time
Job Description

Posted Tuesday, December 19, 2023 at 5:00 AM

Job Summary

Reporting to the Director of Model Risk Governance, the Data Scientist, Model Risk is responsible for technical validation of predictive models developed by model developers as well as promoting the transparency and understanding of models used across the business to ensure the company is not subject to unjustified and unidentified risks due to the use of models.

Responsibilities

  • The incumbent will closely collaborate with model owners and stakeholders across Finance, Risk, Operations and IT teams on model validation.
  • Thorough technical validation of code and documentation of ETL and data pipelines, predictive models and its deployment.
  • Provide validation findings and recommendation to the modelers.
  • Develop a champion-challenger ML/Bayesian/DL/AI model as needed by the business.
  • Support the Director, Model Risk Governance in documenting technical findings for presentation to validation groups and Company’s executive team.
  • Oversee and ensure an end-to-end ML/Bayesian/DL/AI model lifecycle is built in accordance to company’s model risk management framework and industry best practices.
  • Assist pipeline automation and other risk analytics efforts.

Skills and Qualifications

  • Advanced degree in highly quantitative field (Applied Statistics, Applied Mathematics, Applied Physics, Computer Science, Operational Research, Applied Finance, Econometrics, Actuarial, Engineering, etc).
  • Minimum 1 year of work experience in ML/Bayesian/DL/AI model development and deployment. Experience in model risk, quantification and validation is required.
  • Strong programming fundamentals and advanced knowledge in Python, Pandas, R, PySpark, SQL and similar tools.
  • Solid understanding of various ML/Bayesian/DL/AI algorithms and libraries, e.g. Scikit-learn, Spark MlLib, TensorFlow, Keras, PyTorch, RL etc.
  • Experience with data visualization tool, particularly Tableau.
  • Experience with AWS cloud services.
  • Experience with containerization and orchestration tools, particularly Dockers and Kubernetes.
  • Experience working with advanced Git Workflows (pull requests, code reviews, issues, and branching), Jira, and Confluence.
  • Familiarity with any microservices such as Flask, Plumber, React, NodeJS, etc..
  • Familiarity with Unix environment and scripting.
  • Strong written and verbal communication skills enabling the translation of technical results into non-technical explanations.
  • Fast-learner, proactive, results-oriented, strong problem-solving attitude, and a team player.

#LI-Onsite

At Sagen, we offer:

  • Annual Performance Bonus Plan
  • Medical, Dental, Prescription Drug, and EFAP Benefits
  • Company funded Pension Plan
  • Company matching RRSP, TFSA and/or Non-registered Savings Plan
  • Competitive vacation policy
  • Life Insurance and Accidental Death & Dismemberment
  • Short Term and Long-Term Disability programs
  • Reimbursement programs for special occasions, health and wellness, mortgage insurance and tuition
  • Work from Anywhere Days

S agen is committed to creating a diverse and inclusive workforce. We welcome, respect and value people from all backgrounds and abilities and create a sense of belonging that inspires our employees to be their authentic self.

We encourage applications from people with disabilities and will provide accommodations upon request throughout the selection and hiring process to meet individual needs.

#J-18808-Ljbffr

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