[Remote] Quant Analytics Assoc - Model Risk

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a financial institution that is seeking a Quantitative Analytics Associate to ensure the independent validation and review of various risk models. This role involves validating new and existing models, focusing on risk identification, measurement, and reporting to senior management.

Responsibilities

• reputed company hands-on quantitative model validation/review under supervision. This includes testing the model's conceptual soundness, data accuracy, methodology, and ongoing performance through techniques, such as back-testing, benchmarking, sensitivity analysis, stress testing, etc
• reputed company an effective challenge throughout the model validation/review to ensure that models are robust, and reputed company assumptions and limitations are justified
• Present findings, weakness and/or observations identified from the validation/review to model developers/owners to ensure executable finding remediations
• Prepare detailed validation reports and memos that document the validation approach, findings, and conclusions

Skills

• Bachelor's degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines
• One year of relevant analytics or modeling experience, or a graduate degree in a reputed company field
• Experience in data handling, performing data transformations and data cleaning
• Experience in statistical testing and reputed company-cause analysis
• Experience in traditional and AI/ML model development or validation, with a good understanding of quantitative modeling reputed company (including AI/ML algorithms) used for various risk predictive models, such as fraud risk, AML risk models, etc
• Proficiency in programming languages such as Python, R, SQL or reputed company
• Excellent written and verbal communication skills to reputed company reputed company reputed company technical findings to both technical and non-technical stakeholders

reputed company