What are the responsibilities and job description for the Quantitative Risk Associate position at Eminent India Private Limited?
Job Description
Job Description
JOB DESCRIPTION :
Being a member of the Quantitative Risk Management (QRM) team, the Quantitative Risk Associate Director is responsible for the development and support of models and methodologies for the quantification of risk.
QRM also carries out quantitative analysis and other analytical support to firms' risk management and other business needs.
Quantitative Risk Management (QRM) is responsible for the development and support of models and methodologies for the quantification of risk.
QRM also carries out quantitative analysis and other analytical support for DTCC's risk management and other business needs.
RESPONSIBILITIES :
Maintain and enhance in-house risk models.
Develop model performance measurements, generate model performance monitoring reports, and perform ad hoc analysis to explain model behavior.
Conduct research related to capital market and risk modeling.
Develop, establish, and maintain key analytical processes.
Collaborate with related teams on model validation, production implementation, etc.
Must have :
Master's degree or higher in a quantitative field of study (e.g., mathematics, finance, economics, engineering, or similar fields).
5 years of hands-on experience in developing, enhancing, and maintaining quantitative risk models .
Strong background in quantitative research within the financial markets, particularly in equity , fixed income , or derivatives markets .
Banking, financial institutions, financial instruments, and capital markets
Expertise in model performance monitoring and ability to conduct ad hoc analysis to explain model behavior.
Experience in capital markets and a deep understanding of risk analytics for financial instruments such as Treasury securities , MBS pricing , equity , and short-term financing instruments .
Proficiency in Python , C , SQL , Excel , and / or R for model development and risk analytics.
Excellent oral and written communication skills to effectively present and explain complex technical information to both technical and non-technical audiences.
Attention to detail and the ability to focus on the quality of deliverables .
Nice to have :
Knowledge and experience in D ata Science / Machine Learning
Experience with Snowflake
Additional information :
Location and Compensation :
The role is located in Tampa, FL, or McLean, VA with competitive base salaries depending on location :
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