Hyderabad Jobs |
Banglore Jobs |
Chennai Jobs |
Delhi Jobs |
Ahmedabad Jobs |
Mumbai Jobs |
Pune Jobs |
Vijayawada Jobs |
Gurgaon Jobs |
Noida Jobs |
Hyderabad Jobs |
Banglore Jobs |
Chennai Jobs |
Delhi Jobs |
Ahmedabad Jobs |
Mumbai Jobs |
Pune Jobs |
Vijayawada Jobs |
Gurgaon Jobs |
Noida Jobs |
Oil & Gas Jobs |
Banking Jobs |
Construction Jobs |
Top Management Jobs |
IT - Software Jobs |
Medical Healthcare Jobs |
Purchase / Logistics Jobs |
Sales |
Ajax Jobs |
Designing Jobs |
ASP .NET Jobs |
Java Jobs |
MySQL Jobs |
Sap hr Jobs |
Software Testing Jobs |
Html Jobs |
Job Location | Noida |
Education | Not Mentioned |
Salary | Rs 16 - 30 Lakh/Yr |
Industry | Recruitment Services |
Functional Area | General / Other Software |
EmploymentType | Full-time |
We are hiring for a leading Financial organisation based at NoidaPosition :Experience : 5-8 yrs in Model Development- For financial Services with good Python and R programming skillsEducation : B.tech/ Masters / MBA - Tier 1 college - in Economics, Mathematics, Statistics, Finance, Computer science with good knowledge in of financial mathematics including stochastic calculus, probability theory and time-series modelingRole & Responsibilities :- Responsible for models development in Quant/Risk Domain like : CCAR/ PPNR/ Credit risk/ Predictive modeling.- Implementing and executing statistical models, supporting stress testing and planning for CCAR and other regulatory and financial programs.- Building and documenting predictive models in accordance with companys standards- Providing other ad hoc analytics as required to support business needs and strategic direction- Experience in designing and developing quantitative financial models; in particular, statistical models- Knowledge of stress testing modelling, processes and relevant regulatory guidelines such as CCAR ,
Keyskills :
stress testingcomputer sciencefinancial servicesbehavioral trainingstochastic calculusregulatory guidelinesr programmingccarpythoncreditfinancetestingsciencebusinessstrategyplanningcalculusanalyticseconomics