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CCB Risk - Credit Risk Cards Modeling (Machine Learning) - Associate

3.00 to 5.00 Years   Bangalore   28 Feb, 2022
JPMorgan
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    Quantitative modeling is responsible for development, maintenance and management of quantitative models that are used for most critical decisions within CCB Risk. With models that are aligned to line of business- Cards, Business Banking, Auto, Homelending as well as for horizontal areas like fraud management, capital models, stress testing, CCAR etc. Quant Modelers regularly interact with variety of stakeholders including but not limited to LOB teams, MRGR, Fair Lending, Legal, Implementation,Tech teams etc. This an excellent opportunity in our Decision Sciences modeling team for an individual who thrive in a fast-paced and team-oriented environment where strong analytical skills, business acumen, and superior communication skills are leveraged. As part of the Core Modelling team, you will develop and manage models for critical business oriented decisions including acquisition of new accounts, management of accounts (line increase, decrease etc.), collection of accounts, fraud management etc using largely Machine learning (and in places traditional) modeling techniques. Primary Responsibility
    • Own end-to-end risk model development efforts within Core Modeling using advanced statistical/mathematical techniques like regression, XG Boost, Nueral nets, SVM or other traditional modeling/ machne learning methods.
    • Lliasoning with risk development partners like MRGR, Fair Lending, Legal, Technology and LOB Business Stakeholders
    • Own quality of models developed, assuring accurate and appropriate model development standards, and right implementation of models.
    Qualification
    • 3+ years statistical model development/ Machine learning model development experience in a deeply quantitative role in the financial services industry or Fintechs dealing with advanced analytical or machine learning methods
    • 3+ years SAS experience; well versed in SAS/Base, SAS/STAT, SAS/Macro, and data-mining procedures. SAS Certification preferred.- OR -
    • 3+ years experience in Python, Spark, Hive, Scala, Big Data, Hadoop, Keras, Scikitlearn etc.
    • A Master s or Ph.D. Degree in a technical or quantitative field such as Statistics, Economics, Finance, Mathematics, Computer Science, Engineering from Top-Tier university like IIT, IIM, IISc, ISI, IGIDR etc.
    • Strong analytical, technical and statistical skills. - Proficient with advanced analytical tools and techniques - Hands-on experience in ML techniques a plus (Tensorflow, Keras, Scikitlearn, Seaborn etc).
    ,

Keyskills :
strong analytical skillsbig datastress testingbusiness acumencomputer sciencemachine learningfraud managementbusiness banking

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