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Vice President - Core Modeling

Req #: 170119995
Location: Mumbai, MH, IN
Job Category: Accounting/Finance/Audit/Risk
Potential Referral Amount: 50000 Indian Rupee (INR)
J.P. Morgan is a leading global financial services firm, established over 200 years ago:
  • We are the leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management.
  • We have assets of $2.5 trillion and operations worldwide
  • We operate in more than 100 markets.

We have more than 243,000 employees globally.

 

Our wholesale businesses include J.P. Morgan’s Asset Management, Commercial Banking and the Corporate & Investment Bank which provide products and services to corporations, governments, municipalities, non-profits, institutions, financial intermediaries and high-net worth individuals and families.

Our corporate functions support the entire organization and include the following functions: Accounting, Audit, Finance, Human Resources, Operations, and Technology.

 

J.P. Morgan in India provides a comprehensive range of Corporate & Investment Banking, Commercial Banking, Asset & Wealth Management, and Corporate functions services and solutions to our clients, executing some of the most important financial transactions and providing essential strategic advice to our clients such as the government, large domestic and multi-national corporations, non-government organizations and financial institutions and investors. India is a key market for JPMorgan Chase globally and our employees in India are a critical part of how we do business globally and are integrated within our businesses. Our Global Service Centers (GSCs) are strategically positioned in Mumbai, Bangalore and Hyderabad to support the firm’s operations regionally and globally. The centers provide comprehensive strategic support across technology and business operations processing to all lines of business and the corporate functions.

 

Chase Consumer & Community Banking serves nearly 66 million consumers and 4 million small businesses with a broad range of financial services through our 137,000 employees.  Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Our Risk Management professionals work directly with Consumer Banking, Business Banking, Auto/Student Loan, Card and Commerce Services, Chase Wealth Management and Mortgage Banking to minimize, monitor and control the probability of risk events and mitigate the impact of risk events that do occur.

 

The CCB Risk Core Modeling Data Scientist will be a key individual contributor along with Team management responsibilities on the Fraud Modeling team that is responsible for developing and implementing best-in-class fraud prevention and detection models and analytical tools.  The CCB Fraud Modeling team is an analytical center of excellence to all fraud risk managers and operations across the bank. The team provides diverse models and analytical tools used to identify potentially fraudulent transactions across different lines of business (card, retail, auto, merchant services). In this role, you will be the analytical expert for identifying and retooling suitable machine learning algorithms that can enhance the fraud risk ranking of particular transactions and/or applications for new products. This includes a balance of feature engineering, feature selection, and developing and training machine learning algorithms using cutting edge technology to extract predictive models/patterns from data gathered for hundreds of millions transactions. Your expertise and insights will help us effectively utilize big data platforms, data assets, and analytical capabilities to control fraud loss and improve customer experience.
 
Success in this role requires a strong foundation in predictive modeling and machine learning coupled with proven ability to deploy scalable solutions that can handle a massive amount of data and computation. Expert communication and collaboration skills are also required. Your key responsibilities will include: 
 
Data Analysis
  • Feature engineering
  • Feature selection for traditional GLM models (e.g Lasso, ElasticNet, etc) and machine learning models
Machine Learning Algorithm Development
  • Retooling/enhancing existing machine learning algorithms
  • Implementing new machine learning algorithms that are available from the public domain
Fraud Detection Model Development
  • Collaborate with fraud prevention/detection strategy teams and operations to understand business needs, data generating process, system capability, and potential impact of models.
  • Design machine learning algorithms that can be used to improve the fraud prevention/detection scores
  • Source data and apply feature engineering for model development and deployment
  • Provide requirements and assist Information Technology for model deployment
  • Document model solutions and address questions/concerns from model risk and control partners
  • PhD./ Master's degree in Mathematics, Statistics, Economics, Computer Science, or related fields
  • Expert in generalized linear models, unsupervised and supervised machine learning algorithms 
  • Demonstrated experience with Big Data tools like Hadoop & Spark
  • Demonstrated proficiency in advanced analytical languages such as R, Python, Scala, 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
  • Minimum 10 years of experience in Model development for Financial Services.
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