Risk – Consumer & Community Banking -Quantitative Modeling (Cards) – Associate
Company Name:-
JPMorgan Chase Bank, N.A.
Job Location:-
Bengaluru, Karnataka
Job Summary:-
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 StakeholdersOwn quality of models developed, assuring accurate and appropriate model development standards, and right implementation of models.
‘6+ 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
6+ years’ SAS experience; well versed in SAS/Base, SAS/STAT, SAS/Macro, and data-mining procedures.
SAS Certification preferred.
– OR –
3+ years’ experience inPython, Spark, Hive, Scala, Big Data, Hadoop, Keras, Scikitlearn etc.
Demonstrates leadership within the team in terms of attitude, initiative and inclusivity.
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.
In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.
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