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Tier-1 brand and metro mid-level role, but specialized risk/algo testing narrows candidate pool.
Role requires finance market risk, algo trading and controls expertise, limiting transferability across industries.
Explicit 4–7 years, required risk domain experience and Python/SQL technical skills indicate strict filters.
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Support independent testing and verification of trading algorithms and risk controls, ensuring compliance with firm policies and regulatory requirements.
Identify control gaps and emerging risks through validation and testing of algorithms and risk frameworks.
Collaborate across trading, technology, compliance, and risk teams to enhance control frameworks and contribute to continuous improvement and automation of testing processes.
4 - 7 years of experience in electronic trading, risk management, quantitative analytics, or related domains.
Bachelor's degree in Engineering, Finance, Mathematics, Computer Science, or related quantitative discipline.
Proficiency in Python, SQL, Excel, or similar data analysis/testing tools.
Strong understanding of risk management concepts and control frameworks, with awareness of second line of defense responsibilities.
Experience with algorithmic trading concepts, market microstructure, or electronic trading workflows for strong domain fit.
Background in testing frameworks, model validation, or control assurance to support effective risk oversight.
Ability to manage multiple deliverables with strong ownership, attention to detail, and operate effectively in a global, cross-functional environment.