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Tier-1 brand, metro location, and mid-level experience increase applicant density despite niche analytics requirements.
Role requires specialized audit, trade-lifecycle and multi-asset-class experience, reducing cross-industry transferability.
Explicit 4–9 year band plus mandatory GenAI/agentic technology skills and domain experience raise shortlisting strictness.
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Own and deliver internal audit services with focus on risk analytics and advisory within investment operations and middle-office functions.
Evaluate trade lifecycle processes including reconciliations, settlements across multiple asset classes (Equity, FI, FX, Derivatives, Corporate Actions).
Leverage GenAI/Agentic technologies and possibly Java/Python to optimize audit and risk management processes, including working in global shifts where applicable.
4 to 9 years of relevant experience in middle-office/investment operations or related audit/risk roles.
Bachelor of Engineering degree mandatory; other educational qualifications not explicitly mentioned.
Mandatory skills include expertise in GenAI/Agentic technologies (AutoGPT, LangChain, ReAct, DSPy, etc.).
Work Experience Required: 4 to 9 years in related domain. Notice period: Not explicitly mentioned in the JD.
Strong background in middle-office and investment operations with comprehensive multi-asset class knowledge.
Experience applying AI/agentic technologies for risk analytics and audit process improvements.
Comfortable working in global shifts (night/EMEA) and adapting to advanced technology-driven audit environments.