Apply Now    

Associate - Modeling Analytics (Machine Learning)

Req #: 180006647
Location: Bangalore East, KA, IN
Job Category: Credit
Job Description:
J.P. Morgan is a leading global financial services firm, established over 200 years ago:
o We are the leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management.
o We have assets of $2.5 trillion and operations worldwide
o We operate in more than 100 markets.
o 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 Centres (GSCs) are strategically positioned in Mumbai, Bangalore and Hyderabad to support the firm’s operations regionally and globally. The centres provide comprehensive strategic support across technology and business operations processing to all lines of business and the corporate functions.
This an excellent opportunity for an individual who thrives in a fast-paced and team-oriented environment where strong analytical skills, business acumen, and superior communication skills are leveraged to support our company's ability to accurately forecast our losses and identify early signs of credit risks.


The Consumer and Community Bank (CCB) currently consists of a number of credit portfolios including Credit Card, Mortgage, Auto, Student Loans, Business Banking and Dealer Commercial Services. The consumer business is supported by both Vertical Organizations (dedicated risk staff supporting a specific business) and Horizontal Organizations (staff that is accountable for working across businesses.) One of these Horizontal organizations is the Consumer Credit Forecasting team.


The candidate will be working with a virtual team of product SMEs across products to identify potential machine learning and robotics use cases and develop proof of concept within the Credit Forecasting space
Responsibilities include:
  • Managing multiple machine learning based analytical projects across the Credit Forecasting organization
  • Implementing scalable machine learning/data mining algorithms making use of distributed/parallel processing
  • Driving efficiency in the Credit Forecasting process through Robotics by closely partnering with the Robotics Risk and Finance COE team
  • Partnering with product teams to collect and organize data and information, perform research and analysis, and present recommendations that influence decision makers
  • Analyze and interpret big data and its impact on both operational and financial areas following comprehensive risk principles and procedures
  • Document solutions and address questions/concerns from model risk and control partners
  • Drive a culture of management business reviews to review progress on projects and escalate issues, as necessary
  • Share results and best practices within the analytic community
  • Work closely with upstream and downstream partners to communicate outcomes  and analysis
  • Presenting findings, recommendations and presentations to Senior Management. 
  • Provides leadership, coaching and mentoring to a group(s) of analytic professionals
The work schedule is Monday - Wednesday, 1 PM - 10 PM IST and Thursday - Friday, 11 AM – 8 PM IST  


  • Bachelor's degree in a quantitative discipline; Math, Finance, Statistics, Economics or equivalent work/training is required; advanced degree is preferred
  • 5+ years of related modeling / technical experience
  • Knowledge of the Forecasting process, macroeconomics and finance preferred
  • Proficient in development of machine learning based models and experience with implementing scalable machine learning/data mining algorithms making use of distributed/parallel processing
  • Expert in generalized linear models, unsupervised and supervised machine learning algorithms 
  • Demonstrated experience with Big Data tools like R, Python, Scala, SAS, Hadoop & Spark
  • Experience with traditional database / system languages (e.g. SAS, SQL, etc.) to collaborate with other data analysts / systems
  • Proven record in problem solving and business innovation
  • Moderate degree of independent decision making and autonomy
  • Project Management Skills -- well-organized, structured approach.  Ability to achieve tight timelines on complex deliverables.  Ability to manage and prioritize projects across cross-functional groups.
  • Ability to synthesize data and communicate to leadership in a concise and effective manner, both verbally and written
  • Proactive communication and ability to engage seamlessly to bridge teams across multiple locations and time zones
  • Able to work effectively under pressure and in a rapidly changing environment in order to meet deadlines
  • History of effective multi-tasking, expectation setting, and escalation of issues, where appropriate
  • Collaborative, team-oriented, passionate about supporting our internal / external clients
  • Strong understanding of controls and dedicated to continuously improving processes
Apply Now    
Link for schema

Join our Talent Community

Not ready to apply? Leave your information with us and we will keep you up to date with new career opportunities.

Other Information

Apply Using LinkedIn

You can also apply using your LinkedIn® profile. It may save you some time because your information will be automatically transferred into our system. Just click on the LinkedIn logo when you get to the application screen and follow the directions.

Submit an Updated Résumé

During the application process, be sure you have an up-to-date copy of your Résumé, your cover letter and any other documentation you would like to submit.