Quantitative Risk Management Specialist

5 days ago

Montreal, Quebec, Canada SGS Société Générale de Surveillance SA Full time

About SGS Société Générale de Surveillance SA



We are a leading global banking group that offers a wide range of financial services. Our mission is to contribute to the sustainable growth of our clients through our expertise and innovative solutions.



Job Description

We are seeking a Quantitative Risk Management Specialist to join our team in New York. As a Quantitative Risk Management Specialist, you will be responsible for managing model risk across various business lines. You will work closely with front-office staff, model developers, and risk managers to review models and address remediation efforts.



Main Responsibilities:


  • Model Review: Independently assess model design and conceptual soundness by conducting quantitative analyses, statistical tests, and developing challenger models for benchmarking.
  • Data Quality: Verify the quality and consistency of data inputs, transformations, and outputs, using advanced statistical techniques to address complex datasets.
  • Model Replication: Review and replicate model architecture to ensure computational accuracy and correct implementation.
  • Output Analysis: Perform backtesting, benchmarking, and sensitivity analysis to evaluate model performance and accuracy.
  • Ongoing Monitoring: Regularly assess model performance, recommending adjustments or redevelopment based on changes in market conditions, products, or clients.
  • Model Governance: Evaluate governance aspects, including change management and ongoing monitoring, and assess overall model risk.
  • Communication and Reporting: Draft detailed validation reports and communicate findings to stakeholders, including management and business partners.


You will have the opportunity to work with a variety of models used by the business and support functions, including models for credit risk and financial crime compliance.



Requirements:


  • Education: Bachelor's degree (Master's or PhD preferred) in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, or STEM.
  • Experience: Minimum 3 years in model development, validation, or a front-office quant role; fewer years accepted with a PhD.
  • Technical Proficiency: Strong programming skills in Python, R, C++, or similar, with advanced knowledge of statistics, econometrics, and machine learning.
  • Data Management: Experience working with large datasets and quantitative analysis.
  • Communication: Excellent written and verbal communication skills for working with both technical and non-technical staff.
  • Model Risk: Familiarity with model risk management practices and regulatory requirements.


Benefits

We offer a competitive salary ranging from $120,000 to $180,000 per year, depending on experience, plus benefits including minimum of 20 Vacation days + 4 personal days, health spending ($2000/year) and personal spending ($1000/year) accounts with 75+ eligible reimbursement categories, and fully sponsored virtual healthcare assistance and Employee Assistance Program to you and your immediate family.



About Our Company

SGS Société Générale de Surveillance SA is a leading global banking group offering a wide range of financial services. We contribute to the sustainable growth of our clients through our expertise and innovative solutions.

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