Quantitative Modeling Lead

Bengaluru, Karnataka, India

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Quantitative Modeling Lead

THE TEAM

The Consumer and Community Banking (CCB) Portfolio Risk Modeling Center of Excellence consists of an intellectually diverse team of economists, statisticians, mathematicians, and other analytics professionals, focused on quantitative modeling of risks within the lending portfolios of the CCB businesses within JPMorgan Chase & Co. The team answers complex and unique questions, utilizing cutting edge quantitative methods and leverage one of the world’s largest repositories of consumer lending data. By applying expert knowledge in predictive modeling, along with a deep understanding of the businesses of consumer lending, we partner with teams across JPMC to assess, measure, and manage critical risks within the CCB consumer loan portfolios.

The Quantitative Modeling Lead will be a key member of the Portfolio Risk Modeling team. The successful candidate will be responsible for end-to-end model design and development. This position is a team leader and will have responsibilities of leading a team of professionals. The candidate will build a solid understanding of various consumer products and key risk drivers and use that to further enhance the models.

This opening is specific to the Auto and Business Banking Forecasting Model Development Team within Portfolio Risk Modeling.

THE POSITION
As an Vice President, you will be part of and lead a team of quantitative professionals developing and maintaining advanced credit risk forecasting models for assessment of CCB’s retail portfolios which are used for both regulatory and portfolio risk management purposes.  

Responsibilities will include:

  • Design, develop, test, and validate statistical/economic models for consumer/retail portfolios, including probability of default, loss given default, and exposure at default.   
  • Utilize state-of-the-art modeling including both classical statistical modeling approaches and modern machine learning approaches to enhance existing models and tackle challenging modeling problems
  • Manage end-to-end model development process, including data manipulation, exploratory data analysis and pattern discovery, model development, refinement and validation, documentation, assisting with implementation, and performance monitoring
  • Collaborate with cross functional partners in Risk, Finance, Technology, Model Governance throughout the entire modeling life cycle.

Qualifications

  • Advanced degree in a quantitative discipline (e.g. Mathematics, Statistics, Economics, Computer Science, Operations Research) - Masters with 6+ years of relevant working experience or a PhD.
  • Strong data analysis and statistical/economic modeling experience, such as generalized linear models, multivariate analysis and time series analysis
  • Proficiency in advanced analytical languages (e.g. SAS, Python, R); Familiarity with framework of machine learning pipeline (e.g. tensor flow, scikit-learn) is not required but a plus
  • Ability to work with large data and perform extensive analysis to draw useful insights
  • Strong communication skills to present to and collaborate with business partners and model end-users Strong organizational and multi-tasking skills with demonstrated ability to manage expectations and deliver quality results on time
  • Comfortable working both independently and in a team environment
  • Credit risk modeling experience is a plus, but not necessary

JPMorgan Chase & Co., 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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Leadership Jobs

Tags: Banking Computer Science Credit risk Data analysis Economics EDA Finance Machine Learning Mathematics ML models Model design PhD Predictive modeling Python R Research SAS Scikit-learn Statistical modeling Statistics TensorFlow

Region: Asia/Pacific
Country: India

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