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| Job Location | Mumbai City |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Banking / Financial Services |
| Functional Area | Risk / Underwriting |
| EmploymentType | Full-time |
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 :- 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 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). Good understanding of Consumer Banking products - Cards, Home loan, Auto loan and lease, SME portfolio is required. Good presentation skills both writtten and oral are required for this role Ability to multi-task and present quantitative information succintly is required.,
Keyskills :
big databusiness bankingbusiness acumenbanking productsfraud managementstrong analytical skillscomputer sciencestress testingmachine learning