Market risk analysts required:
2010 or 2011 passouts, familiar with MATLAB, Statistical processing, finance background is a plus.
CPI: above 7.0
package: 8-10L per annum
Position Description
MSAS recruits junior quantitative research associates for the VaR methodology and
Modeling group within the Market Risk Department.
This team is responsible for
the daily production of firm-wide VaR (value-at-risk) and other key risk metrics, risk
modeling/analysis and presentation to senior management.
The ideal candidate will have a strong quantitative background with excellent
analytical/IT skills. This role would require developing an understanding of traded
products, a grasp of market risk methodologies and the underlying data challenges,
as well as an appreciation for the technical architecture around market risk
management in a highly process driven Production environment. The candidate
should also possess a strong sense of ownership and accountability for work, as well
as a detail-oriented, flexible approach to problem solving.
Skills Required
• Strong quantitative and analytical skills and ability to work with diverse
cultures in a global team
• Possess strong verbal and written communication skills
• Detail oriented and highly organized
• Excellent problem-solving and troubleshooting skills
• Knowledge of one of with statistical packages for research (MATLAB, R
etc.), familiarity with SQL, MS Excel VBA; more generally, the candidate
needs to be comfortable using various IT tools to obtain and understand risk
information.
• Ability to work under pressure and cope with a fast moving environment
Skills Desired
• Basic knowledge of financial products pricing and their Greek representations
• The candidate needs to be familiar with statistical techniques viz. Regressions
Analysis and Hypothesis testing.
• An understanding of risk management concepts such as VaR (value-at-
risk), stress tests, scenario modeling, hypothetical back-testing and the risk
representation of various portfolios would be an advantage.
Required Qualifications
• Graduate/Under-graduate degree in Engineering / Statistics / Econometrics
(B.Tech., MS)
• 0 to 1 year of relevant experience in quantitative modeling and / or in Risk
Management
2010 or 2011 passouts, familiar with MATLAB, Statistical processing, finance background is a plus.
CPI: above 7.0
package: 8-10L per annum
Position Description
MSAS recruits junior quantitative research associates for the VaR methodology and
Modeling group within the Market Risk Department.
This team is responsible for
the daily production of firm-wide VaR (value-at-risk) and other key risk metrics, risk
modeling/analysis and presentation to senior management.
The ideal candidate will have a strong quantitative background with excellent
analytical/IT skills. This role would require developing an understanding of traded
products, a grasp of market risk methodologies and the underlying data challenges,
as well as an appreciation for the technical architecture around market risk
management in a highly process driven Production environment. The candidate
should also possess a strong sense of ownership and accountability for work, as well
as a detail-oriented, flexible approach to problem solving.
Skills Required
• Strong quantitative and analytical skills and ability to work with diverse
cultures in a global team
• Possess strong verbal and written communication skills
• Detail oriented and highly organized
• Excellent problem-solving and troubleshooting skills
• Knowledge of one of with statistical packages for research (MATLAB, R
etc.), familiarity with SQL, MS Excel VBA; more generally, the candidate
needs to be comfortable using various IT tools to obtain and understand risk
information.
• Ability to work under pressure and cope with a fast moving environment
Skills Desired
• Basic knowledge of financial products pricing and their Greek representations
• The candidate needs to be familiar with statistical techniques viz. Regressions
Analysis and Hypothesis testing.
• An understanding of risk management concepts such as VaR (value-at-
risk), stress tests, scenario modeling, hypothetical back-testing and the risk
representation of various portfolios would be an advantage.
Required Qualifications
• Graduate/Under-graduate degree in Engineering / Statistics / Econometrics
(B.Tech., MS)
• 0 to 1 year of relevant experience in quantitative modeling and / or in Risk
Management
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