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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