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Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging areaThis is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
As a Quant Modeling Associate Credit Risk in India, you will support critical statistical development projects and related analysis. Your role will involve developing, testing, and validating statistical models utilized to f orecast credit impairment for fixed income securities . You will utilize your advanced analytical skills to perform data extraction, sampling, and statistical analyses. You will also design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture is all about thinking outside the box, challenging the status quo and striving to be best-in-class.
Job responsibilities
- Develop regulatory stress testing and reserve provisioning models, utilizing econometrics and financial mathematics
- Design and create platforms for smoothly integrating credit risk forecasting models to enhance performance and scalability while ensuring accuracy
- Conduct research and development prototypes to identify new ways of using technologies, enabling innovation and delivering products
- Solve unstructured business problems to deliver effective suite of solutions within a timebound manner
- Adapt agile practices to deliver product development analysis, build and implementation of next generation (AI) solutions to effective credit risk monitoring and review
- Collaborate across teams and geographies to leverage data, technology and platforms to build analytical tools, as well as to help design and build the next generation of intelligent solutions
- Embrace a control focused culture, develop strong understanding of business and credit risk to partner effectively with stakeholders
Required qualifications, capabilities, and skills
- Proficiency in statistical modeling techniques, including multivariate regression, time series analysis, panel data analysis, logistic regression, and machine learning algorithms.
- Professional experience or deep interest in data analytics, artificial intelligence and data visualization tools/ techniques
- Problem solving skills to create solutions to potentially complex business challenges
- Candidate must be able to lead, multitask, thrive in a fast-paced environment managing multiple ad-hoc analytical requests and prioritize work accordingly.
- A strong academic background, with a minimum of a bachelors degree in a technical or quantitative field such as Statistics, Economics, Finance or Mathematics . JPMorgan welcomes candidates from all academic disciplines
Preferred qualifications, capabilities, and skills
- Knowledge of regulatory modeling (CECL / CCAR /IFRS9) preferred.
- Proficiency in advanced analytical languages such as Python, R (Preferred)
.
Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging areaThis is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
As a Quant Modeling Associate Credit Risk in India, you will support critical statistical development projects and related analysis. Your role will involve developing, testing, and validating statistical models utilized to f orecast credit impairment for fixed income securities . You will utilize your advanced analytical skills to perform data extraction, sampling, and statistical analyses. You will also design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture is all about thinking outside the box, challenging the status quo and striving to be best-in-class.
Job responsibilities
- Develop regulatory stress testing and reserve provisioning models, utilizing econometrics and financial mathematics
- Design and create platforms for smoothly integrating credit risk forecasting models to enhance performance and scalability while ensuring accuracy
- Conduct research and development prototypes to identify new ways of using technologies, enabling innovation and delivering products
- Solve unstructured business problems to deliver effective suite of solutions within a timebound manner
- Adapt agile practices to deliver product development analysis, build and implementation of next generation (AI) solutions to effective credit risk monitoring and review
- Collaborate across teams and geographies to leverage data, technology and platforms to build analytical tools, as well as to help design and build the next generation of intelligent solutions
- Embrace a control focused culture, develop strong understanding of business and credit risk to partner effectively with stakeholders
Required qualifications, capabilities, and skills
- Proficiency in statistical modeling techniques, including multivariate regression, time series analysis, panel data analysis, logistic regression, and machine learning algorithms.
- Professional experience or deep interest in data analytics, artificial intelligence and data visualization tools/ techniques
- Problem solving skills to create solutions to potentially complex business challenges
- Candidate must be able to lead, multitask, thrive in a fast-paced environment managing multiple ad-hoc analytical requests and prioritize work accordingly.
- A strong academic background, with a minimum of a bachelors degree in a technical or quantitative field such as Statistics, Economics, Finance or Mathematics . JPMorgan welcomes candidates from all academic disciplines
Preferred qualifications, capabilities, and skills
- Knowledge of regulatory modeling (CECL / CCAR /IFRS9) preferred.
- Proficiency in advanced analytical languages such as Python, R (Preferred)
