Python Risk Model Developer - Pittsburgh, PA (Onsite)

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

Python
sql
C++
Pandas
Financial
R
ML models
risk models
risk metrics
JupyterHub

Job Details

Role Name: Python Risk Model Developer
Location: Pittsburgh, PA (Onsite)
Duration: 6-12 Months JOB DESCRIPTION:
As a successful candidate you will be given an opportunity to acquire and develop knowledge from related fields: • 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.)

Best Regards,

Vishal

Truth Lies in  Heart

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.