Python Risk Model Developer

Position: Python Risk Model Developer

Location: Pittsburgh, PA

Duration: Contract

Job Description:

Key Responsibilities:

• Collaborate with stakeholders throughout the organization to develop project plans of delivering objects and timelines of model development and implementation.
• Develop risk models in Python/R used by risk teams for regulatory stress testing submission and company risk management.
• Design and build the execution workflow of models to forecast Balance Sheet, Fee Revenues, Macroeconomic Factors,
• Expense and calculate risk metrics under various stress scenarios, sensitivity & attribution analysis.
• Coordinate with different functional teams to implement models and coordinate coding, testing, implementation and documentation of financial models.
• Develop processes and tools to monitor and analyze model performance to ensure the expected application performance levels are achieved.
• Also, apply various statistical and analytical tests for validating models and results.
• Develop presentation decks using visual analytics tools and techniques. (JupyterHub/Python)
• Apply data mining, data modelling and machine learning techniques to analyze large financial datasets and enhance the model performance.

Qualifications:

• Master/MBA/PhD's Degree in a quantitative field (computer science, financial engineering, mathematics, data science or engineering)
• Experience using one or more programming languages (Python, R, C++, Java, Matlab, etc.) and manipulating data using SQL and Pandas
• Excellent written and verbal communication skills for coordination across teams
• Understanding of design, development and implementation of mathematical, financial risk and ML models
• Relevant work experience in a related field based on education level
• Knowledge of advanced statistical techniques and concepts (regression, time series analysis, statistical tests, etc.)"