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JPMorganChase

Risk Modeling Vice President

Posted 21 Hours Ago
Be an Early Applicant
Hybrid
Bengaluru, Karnataka
Expert/Leader
Hybrid
Bengaluru, Karnataka
Expert/Leader
As a Risk Modeling Vice President, you will manage the development of collection and recovery models, focusing on statistical modeling and machine learning techniques, while collaborating with various teams to ensure effective risk management within the organization.
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Job Description
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 Risk Modeling Vice President in Business Banking Risk Modeling team, you will be a key member of the Quantitative Modeling team. The successful candidate will be responsible for end-to-end management of set of BB collection and recovery models that are used for Risk Management in CCB Risk. The candidate will build a solid understanding of various Business lending products and key risk drivers for statistical credit models of those products.
Job Responsibilities:

  • Manage end-to-end model development process, including data sourcing, manipulation, exploratory data analysis and pattern discovery, documentation, assisting with implementation, and performance monitoring.
  • Understand and evaluate efficiency of modeling techniques including both classical statistical modeling approaches and modern machine learning approaches to enhance existing models and tackle challenging modeling problems.
  • Collaborate with cross functional partners in Risk, Finance, Technology, Model Governance throughout the entire modeling life cycle.


Required qualifications, capabilities, and skills

  • Advanced degree in a quantitative discipline (e.g., Mathematics, Statistics, Economics, Computer Science) with 9+ years of relevant working experience
  • 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., Python); Familiarity with framework of machine learning pipeline (e.g., tensor flow, scikit-learn); experience on the cloud platform (e.g., AWS)
  • Demonstrated expertise in data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency).
  • 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.
  • Knowledge of credit industry collection and recovery or similar experience in past


Preferred qualifications, capabilities, and skills

  • GPU experience is desired.


About Us
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.
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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