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Tier-1 bank brand and senior leadership role attract competition, but niche market-risk quant specialization reduces applicant density.
Domain-specific market-risk, regulatory stress-testing and quant experience make cross-industry transferability low.
Mandatory 15+ years, deep market-risk quant expertise, Python and leadership make hiring filters highly stringent.
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Lead integration and deployment of new market risk applications and enhancements, coordinating with technology teams.
Analyze complex business and system processes to develop solutions and set application programming methodologies and standards.
Allocate work, mentor team members, and collaborate with senior leaders and external parties to ensure compliance and technology goal achievement.
15+ years of relevant experience in systems analysis, programming, and application development, specifically with Python.
Bachelor’s degree or equivalent experience required; Master’s degree preferred.
Hands-on experience developing quantitative and calculation-intensive solutions using Python and advanced computation libraries.
Experience delivering market risk projects including stress testing and regulatory risk; proficiency with Unix, SQL, and source code management tools such as Git or Bitbucket.
Experienced in leading and managing software teams delivering technology solutions in market risk or quantitative finance domains.
Strong ability to manage projects, budgets, and coordinate with risk managers, quants, and front office teams in a matrixed global environment.
Skilled in designing scalable, resilient applications and familiar with CI/CD pipelines, risk methodologies, and banking domain knowledge.