





Tier-1 brand, metro location, and mid-level role produce moderate applicant competition.
Requires investment operations, multi-asset and audit domain experience so limited cross-industry transferability.
Explicit 4–9 years plus mandatory GenAI/agentic and investment-ops skills create stringent filtering.
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Own providing end-to-end internal audit services focusing on risk management and compliance across trade lifecycle and multi-asset classes.
Leverage AI, GenAI, and agentic technologies such as AutoGPT, LangChain, and ReAct to enhance audit and advisory capabilities.
Contribute to IA function setup, transformation, and delivery, including co-sourcing, outsourcing, and managed services with use of relevant technologies.
4 to 9 years of relevant work experience.
Bachelor of Engineering degree required.
Strong experience in Middle-Office/Investment Operations, including trade lifecycle, reconciliations, and settlements.
Mandatory skills: GenAI/Agentic technologies (e.g., AutoGPT, LangChain, ReAct, DSPy); Preferred skills: Python and/or Java programming language.
Experienced in multi-asset class knowledge: Equity, Fixed Income, FX, Derivatives, Corporate Actions.
Ability to work in global shift timings (Night/EMEA shifts where applicable).
Exposure to financial risk management and internal audit processes with a technology adoption mindset, especially AI and automation tools.