Data Scientist securities, Pandas Python, Machine Learning (Risk Management) Dallas, TX ref

Data Scientist (Risk Management) - Dallas, TX

Skills: Knowledge of fixed-income securities, Pandas from Python, Machine Learning Models.

Specific Responsibilities:

• Conduct quantitative analyses related to risk models with emphasis on data-driven research.
• Assemble data for risk modeling by collaborating with cross-functional teams.
• Design and produce reports and presentations for sharing information with model users and model risk control functions.
• Test the adequacy of the modeling solutions.
• Implement the risk models with advanced statistical methods.

Qualifications:

• 3+ years of data design / data analysis / quantitative modeling experience.
• Fluent in Python and SQL. Experience with AWS is a plus.
• Hands-on experience with statistical modeling.
• Knowledge of fixed-income securities is a plus.
• Excellent communication skills, both oral and written.
• MS or PhD in a quantitative field such as Computer Science, Applied Statistics, Physics, or a related Engineering degree.

Business Unit Description:

Our Risk Management teams work to protect the safety and soundness of our systems and are responsible for identifying, managing, measuring, and mitigating a spectrum of key risk types including credit, market, liquidity, systemic, operational, and technology in all existing and new products, activities, processes, and systems.