***We are unable to sponsor for this permanent full-time role**
***Position is bonus eligible***
Prestigious Financial Company is currently seeking a Risk Model Monitoring Consultant with strong Python experience. Candidate will be developing and maintaining risk model monitoring metrics for financial products and derivatives in Python, Alteryx and Tableau. Candidate will collaborate with other Risk Management analysts, business users, data & technology staff, and model validation colleagues to implement new models and enhance existing models.
Responsibilities:
Perform model performance testing, including portfolio back-testing using historical data
Write and review documentations for model monitoring metrics, prototypes and implementation
Review implementation of model monitoring metrics and algorithms focusing on requirement verification, coding, and testing quality
Provide quantitative analysis and support to risk managers on pricing, margin, and risk calculations
Support the launch of new products' monitoring metrics
Develop Python scripts with Pandas and object-oriented programming to automate data processing
Conduct visualization and exploratory analysis using advanced statistical methods
Apply advanced econometric and stochastic models for pricing models
Implement machine learning and time series analysis techniques
Perform model stress testing and backtesting for CCAR
Participate in model performance monitoring code reviews and troubleshooting
Qualifications:
[Required] Master's degree in finance, financial engineering or related and four (4) years of experience as a financial specialist, model risk specialist or related
[Required] Familiar with SQL, Python, Github, Jira, Alteryx and Tableau
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