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Morgan Stanley | Jobs | Risk Analytics ( Risk Management ) | BigDataKB.com | 09-02-22

Job Location: Mumbai

 

? ? Up to 2 years of work experience in quantitative modeling, Risk Management, algorithmic trading, global markets or any other quantitative/Data Science field.
? Knowledge of topics in Statistics like Random Variables, Probability Distributions, Regression Analysis, Hypothesis-testing, Time-Series Analysis etc.
? Knowledge of financial markets and macroeconomics.
Strong quantitative and analytical skills and ability to work with diverse cultures in a global team.
? Knowledge and hands-on experience in one of the programming languages R, Python, MATLAB, C# or C++ is strongly preferred.
? Excellent communication skills (Oral and written). Ability to communicate and present logically, precisely and in simple manner, complex and technical issues.
? Attention to details and ability to work under pressure and cope with a fast moving environment.

Qualifications

Required Qualifications
? Graduate/Under-graduate/Post Graduates/ Advance degrees in finance, mathematics, physics, econometrics, engineering or other quantitative subjects.
? Candidates should have a strong theoretical foundation in mathematics, quantitative finance and economics.
? Knowledge and hands-on experience in programming languages.
Desirable Skillsets

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? PRM/FRM, CFA, CQF certification is an advantage.
? Quantitative modeling experience in Finance/ Data Science
? Knowledge of risk mitigation practices and experience with Basel II/III/IV rules will be considered advantageous.
? Experience in AI, ML, NLP, Big Data Analytics, Tableau is an advantage.

 

Apply Here

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