Credit Risk Modelling-associate

**Organization Description**

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

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.

**Employer Description**

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This 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

Preferred qualifications, capabilities, and skills
- Knowledge of regulatory modeling (CECL / CCAR /IFRS9) preferred.
- Proficiency in advanced analytical languages such as Python, R (preferred)