JPMorgan Credit Risk Modelling-Associate 

India, Maharashtra, Mumbai 

484887200

Organization Description

Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

Job Description

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 forecast 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.

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 bachelor's degree in a technical orquantitative field such as Statistics, Economics, Finance or Mathematics

Preferred qualifications, capabilities, and skills

• Knowledge of regulatory modeling (CECL / CCAR /IFRS9) preferred.
• Proficiency in advanced analytical languages such as Python, R (Preferred)