CCB Risk – Credit Risk Cards Modeling (Machine Learning) – Associate Job Vacancy in JPMorgan Chase Bank, N.A. Bengaluru, Karnataka – Updated today
Are you looking for a New Job or Looking for better opportunities?
We got a New Job Opening for
Full Details :
Company Name : JPMorgan Chase Bank, N.A.
Location : Bengaluru, Karnataka
Position :
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 techniquesHands-on experience in ML techniques a plus (Tensorflow, Keras, Scikitlearn, Seaborn etc).
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.
This post is listed Under Technology
Disclaimer : Hugeshout works to publish latest job info only and is no where responsible for any errors. Users must Research on their own before joining any company