Quantitative Risk Analyst or Treasury Risk Modeling Analyst
Why This Role Stands Out
This hybrid role offers an exceptional opportunity to leverage your quantitative skills in Python and risk analytics to drive impactful Treasury and Risk modeling at a reputable firm, with significant potential for career growth and skill development. You'll thrive here if you possess strong analytical thinking, experience with CCAR testing, and enjoy collaborating to build innovative solutions for senior management. Apply now to join a dynamic team and contribute to cutting-edge financial analytics.
Quick Overview
Job Description
Insights – Treasury modelling , Risk modelling , CCAR testing , UAT Test case and strong in python.
Skill Core Python, strong Algorithm and Analytical thinking, SQL, Experience in risk analytics is preferred. You will contribute to TCAP as a central aggregator and modelling engine across Treasury, Risk, and Finance. UI development (React/Angular)- Moderate knowledge
1.Collaborate with different line of businesses to convert Excel-based business logic and calculations to into python programs/tools to support Ul dashboard creation that presents scenario results and visualizations of metrics to senior management.
2.Strong working knowledge of CCAR stress testing or scenario-driven stress testing, balance sheet line-item modelling and projections, Liquidity stress testing and Interest Rate Risk (IRR) analytics, sensitivity analysis, curve construction and treasury analytics.
3.Collaborate on the development of REST APis that interface with scenario engines, model layers and user applications.
Skills
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