· Proficiency in programming languages such as Python/R for data analysis and modeling
· Excellent verbal and written communication skills for effective articulation of complex quantitative concepts, and a collaborative approach for working in team environments with other analysts, risk managers, and IT professionals
· Detail-oriented with strong organizational skills and ability to manage multiple priorities
· 5+ years of experience in market risk/ALM/Liquidity model development/validation
· FRM/CQF/CFA certification would be a plus
The candidate also needs to have proficiency in one of the following:
I. Prior experience in advising Banks/ NBFCs/ Insurance / Corporate Treasury on the above areas
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