Risk-Consumer & Community Banking- Quantitative Modeling (Machine Learning Model) – Associate
Company Name:-
JPMorgan Chase Bank, N.A.
Job Location:-
Bengaluru, Karnataka
Job Summary:-
Primary :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.
– Efficiently design and produce models following procedures for model development, validation, and reporting – Provide support for model implementation, performance monitoring and calibration.
Expected to work on multiple projects with modeling teams in other locations, to ensure high quality model development standards,reviews and re-reviews, model monitoring, enhanced model usage support etc in compliance with firm’s Estimation policies and procedures.
Ensure right development and usage of models owned.
Qualifications:
3+ years’ statistical model development/ Machine learning model developmentexperience 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.
– Experience utilizing relational and distributed data tools dealing with structured and unstructured data.
Example tools include Hive, DB2, Oracle, or Teradata.
– A Master’s or Ph.D.
Degree in a technical or quantitative field such as Statistics, Economics, Finance, Mathematics, Computer Scie
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