Description

Job Description:

• We are seeking a Sr Python Developers with strong Python skills, analytical thinking, and financial/risk experience to help with system design and implement the core modeling, scenario generation, and analytics components of this enterprise platform.
• This role blends quantitative development and software engineering to build scalable tools used by Treasury, Market Risk, and senior decision-makers.

Key Responsibilities
Quantitative Modeling & Scenario Analytics

• Develop and implement using Python for balance sheet projections, interest rate risk (IRR), liquidity analytics, and scenario-driven stress testing.
• Support both regulatory scenarios (e.g., CCAR, SCB, liquidity stress) and ad hoc "what-if” analyses for Treasury and risk stakeholders.
• Build tools for scenario transformations, sensitivity calculations, curve construction, and quantitative stress analytics.

Platform & Data Engineering

• Design and maintain high performance Python modules that serve as the computational core of the scenario analysis framework.
• Proficient with Pandas, NumPy and other Quant libraries.
• Work with large datasets using SQL to integrate financial, balance sheet, and market inputs.
• Collaborate on the development of REST APIs that interface with scenario engines, model layers, and user applications.

Front-End & Workflow Integration

• Partner with UI developers to support React-based dashboards that present scenario results, visualizations, and analytics to business users.

Key Skills

Education

Any Graduate