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Sr. Analyst - Core Modeling (SWAT - Machine Learning)

Req #: 180007717
Location: Bangalore East, KA, IN
Job Category: Accounting/Finance/Audit/Risk
Job Description:
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.6 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com
 
This position is part of the centralized SWAT team supporting the Consumer and Community Banking (CCB) risk management organization. The group supports various strategic project initiatives across the CCB risk organization. The team works across all consumer business lines, namely credit cards, auto, mortgage, business banking and retail banking. In this role, you will gain knowledge of risk management, controls and infrastructure, as well as develop a solid understanding of risk analytics and how it evolves and impacts the overall business and the industry.
 
Responsibilities include but not limited to
  • Handle multiple machine learning based risk analytical projects across the CCB organization
  • Partner with cross-functional teams to collect and organize data and information, perform research and analysis, and present recommendations that influence decision makers.
  • Data Analysis
    • Collaborate with strategy teams and operations to understand business needs, data generating process, system capability, and potential impact of models.
    • Data munging and data preparation for modeling
    • Feature engineering and Feature selection
  • Machine Learning Algorithm Development
    • Enhance and optimize existing machine learning work flows
    • Implementing new machine learning based work flows
  • Model Development
    • Design machine learning based solutions that can be used to improve the prediction scores
    • Provide requirements and assist Information Technology for model deployment
    • Document model solutions and address questions/concerns from model risk and control partners.
  • Share results and best practices within the analytic community
  • PhD./ Master's degree in Mathematics, Statistics, Economics, Computer Science, or related fields
  • 2 to 5 years of experience with model development, preferably in financial industry
  • Proficiencies in development and implementation of machine learning based models
  • Expert in generalized linear models, unsupervised and supervised machine learning algorithms 
  • Demonstrated proficiency in analytical  programming languages such as R, Python, Scala and SAS
  • Experience with traditional database/system languages (e.g. SAS, SQL, etc.) to collaborate with other data analysts/systems
  • Experience with implementing scalable machine learning/data mining algorithms making use of distributed/parallel processing
  • Experience with model development in Financial Industry is preferred
  • Hands-on work schedule (be able to extract relevant information / data, write requisite code and independently execute the requisite analysis / solution).
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