Quantitative Advisor - Model Risk Management(Validation, Market, Algorithm Trading& CCR)

ABOUT THE JOB:The Risk Management Department contributes to the sustainable growth of the Societe Generale group through its expertise, understanding of risks, and risk management techniques. The department’s mission is to independently analyze, assess, manage and monitor risk-taking activities with the objective of achieving, together with the first line-of-defense, the best possible outcome for the bank. The department oversees the enterprise, strategic, credit, market, liquidity, operational, model, and other risks of the corporate and investment banking business activities.Model Risk Management (MRM) team embedded within the Risk Management function in SG CIB oversees model risk management. MRM is responsible for the second line of defense for model risk and supervises the model risk management function for the SG America regions (US, Canada, and Latin America). In this respect, MRM notably oversees the SG America’s governance for model risk and conducts the independent review of the models in its scope.In detail, MRM’s main tasks are:The design of the SG America’s model risk management system, as well as its consistency, integrity, and compliance with regulatory provisions.The independent review of internal models within its scope.Managing the model approval process within its scope.Monitoring of the models’ performance and effectiveness of the MRM framework on an ongoing basis.The Quantitative Advisor will participate in the development and maintenance of the continuous model monitoring (CMM) framework to assess the models’ performance and effectiveness of the MRM framework. He/she will be working closely with cross-functional teams, including model validators, model developers, business stakeholders, IT, and auditors.What will be your DAY-TO-DAY?In collaboration with Senior Quantitative Advisors and the team Manager, the Quantitative Advisor will:Conduct independent model review of relevant models that are employed in SG Americas at all stages of their lifecycle.Assess model conceptual soundness to ensure the consistency of model design.Work with large, complex datasets to verify data input quality and processing.Replicate and review model architecture to verify computational accuracy.Analyze model output through backtesting, benchmarking, and sensitivity analysis.Draft detailed validation reports and communicate findings to stakeholders.Maintain positive relationships and continuous communication with model and business stakeholders.Skills and Qualifications:Must Have:Education: Bachelor's degree (Master's or PhD preferred) in a quantitative field.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.Data Management: Experience working with large datasets.Communication: Excellent written and verbal communication skills.Model Risk: Familiarity with model risk management practices and regulatory requirements.Languages: French and English.Ability to communicate in English, both orally and in writing, is a requirement.Due to US Federal Securities law applying to this position, candidates will be required to submit to an enhanced background screening.OUR BENEFITS:Minimum of 20 Vacation days + 4 personal days.Supportive Maternity, paternity, parental, and adoption leave policy.Health spending and personal spending accounts with eligible reimbursement categories.Various Employee Resource Groups (ERG) to engage with.A culture of continuous development by encouraging various training programs.OUR CULTURE:At Societe Generale, we live by our core values of commitment, responsibility, team spirit, and innovation.Diversity & Inclusion:Our Diversity & Inclusion Mission: Recruit, develop, advance, and retain a diverse workforce.HYBRID WORK ENVIRONMENT:Societe Generale offers a hybrid work arrangement that offers employees the flexibility to work remotely and on-site. #J-18808-Ljbffr