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Quantitative Analyst
BNP Paribas
New York, NY, United States
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Responsibilities:
• Conduct independent quantitative reviews of models developed within CIB in accordance with internal standards and regulatory letter SR11-7
◦ US CIB lead for model validation of compliance models
◦ Provide challenge of conceptual soundness, reasonableness of model output, implementation and any other relevant modelling aspects impacting fit-for-use.
◦ Work with validation managers to develop an appropriate validation plan to provide effective challenge commensurate with the level of model risk
◦ Produce documentation of effective challenge process and materials to support committees in review and decisions
◦ Defend conclusions to management
◦ Ensure all record keeping requirements are met
• Follow and Contribute to Improvements of Standards, Procedures and Policies
◦ Follow internal standards for independent reviews as well as internal policies and procedures detailing the groups working model
◦ Through internal feedback contribute to the evolution and development of internal standards and procedures
• Contribute to the overall model risk framework
◦ Contribute to standards, procedures and policies as appropriate
◦ Work with Bank of the West and BNP Paribas Group stakeholders as appropriate
• Assess ongoing model performance
◦ In addition to model validations review performance monitoring results and perform annual reviews
• Participate in development of more junior team members
◦ Provide guidance and training to more junior team members in business areas, modeling techniques and practical execution of model validation requirements in collaboration with team leadership
Minimum Required Qualifications
• Quantitative PhD, Masters or other advanced degree.
• 5 + years’ modelling or performing model validation in a CIB or comparable environment
• 5+ years’ experience producing high quality written technical documentation
• Experience in model development or validation of BSA/AML and/or Sanctions filtering models
Preferred Qualifications
• Knowledge of investment banking activities
• Experience or interest in Predicting Modeling and Data Science techniques
• 2+ years programming experiencing in statistical or mathematical languages such as SAS, R, Python, or MATLAB
• Strong quantitative and statistical skills (time series analysis, logistic/ linear regression, and segmentation, Decision Trees, etc.). Experience in modelling or detailed business/transaction knowledge of either:
◦ CCAR/DFAST and Capital Planning modelling
◦ Capital Markets activities and/or modelling aspects
◦ Predicting Modeling, Data Science, Machine Learning (ML) or other Artificial Intelligence (AI) techniques
FINRA Registrations Required
Not Applicable
BNP Paribas is committed to providing a work environment that fosters diversity, inclusion, and equal employment opportunity without regard to race, color, gender, age, creed, sex, religion, national origin, disability (physical or mental), marital status, citizenship, ancestry, sexual orientation, gender identity and gender expression, or any other legally protected status.
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