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The successful candidate will be a key contributor to the team responsible for developing, validating, and maintaining regulatory default risk capital models, specifically within the Fundamental Review of the Trading Book (FRTB) framework. This is not just a modeling role; it is a data-intensive position that requires a strong understanding of capital markets products, risk measurement (market risk), and robust data governance. You will be instrumental in the full production life cycle of models that directly impact the firm's capital adequacy.
Job Responsibility:
Develop, implement, and maintain the regulatory default risk capital model under the FRTB framework
Apply working knowledge of risk measurement and valuation methodology to capital markets and banking products within the firm's risk systems
Utilize strong analytical and programming skills in Python and PySpark for large-scale data processing, validation, and complex data modeling
Construct and execute complex SQL queries to extract and analyze information from large relational datasets
Perform validation and rigorous troubleshooting of quantitative models and data modeling issues
Ensure rigorous adherence to internal governance controls and excellent documentation practices required for regulatory submission
Function as a proven business analyst and problem-solver, identifying, analyzing, and rectifying project issues proactively
Translate ambiguous inputs and user requirements into clear, defined project deliverables, effectively conveying complex conceptual information to both technical and business stakeholders
Requirements:
Demonstrated experience or knowledge in regulatory default risk capital model development under the FRTB framework
Solid programming skills in Python
Working knowledge of SQL
Experience or capability in adapting Python skills to PySpark for processing large-scale data
Good understanding of risk management, capital adequacy, and reference data handling
Well-developed PC skills, particularly with spreadsheets and database tools
Proven business analysis and problem-solving track record
What we offer:
Front-Row Regulatory Seat: Work on the most high-stakes, globally significant financial regulation (FRTB) currently impacting the industry
Big Data Scope: Move beyond local desktop Python coding to enterprise-scale processing by adapting your skills to PySpark for managing massive reference and market datasets
Impactful Work: Your models will directly determine the firm's regulatory capital requirements, positioning you as a critical strategic resource
Cutting-Edge Environment: Utilize modern data science and engineering tools (Python, PySpark, SQL) to solve deeply complex quantitative problems
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