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.
This position is part of Consumer & Community Banking FCPS (Fraud & Customer Protection Services) Operations Strategy team. FCPS consists of 14,000+ employees in Fraud Prevention and Claims & Dispute Call Centers located across domestic and international locations. In this role, you will be working on variety of analyses to provide data-driven insights to FCD group to understand customer behaviors with a focus on service interactions, perform in-depth analysis to help build data models to predict certain customer behaviors, identify opportunities to improve customer experience/engagement, achieve operational efficiency and mitigate fraud risk.
Candidate must have ability to work with sense of urgency and be result oriented. Strong ability to work with large set of data to extract, transform and communicate meaningful data insight into actionable plans. Candidate must be flexible and willing to learn new skills and responsibilities.
This position requires at least two years of experience with the skills listed below
Business Strategy Development: Ability to develop new business strategy using appropriate statistical methods and Profit & Loss criteria, capacity planning and optimization to achieve specific business targets, implement operational rules in automated environment, end to end monitoring and evaluation of business rule effectiveness, excellent written and oral communication/presentation skills needed for executive presentations.
Univariate statistical methods of summarizing large data
Multivariate analysis: Analysis of Variance (ANNOVA), Data Reduction Methods (Principal Components & Factor Analysis), Experimental Design (designing test and control), Hypothesis Testing
Predictive Modeling: Linear Regression, Qualitative and Limited Dependent Variable modeling (e.g., binary and multinomial predictive modeling) using parametric and non-parametric methods (e.g., standard logistic regression, classification tree, and similar techniques) is preferred.
Data Analysis for Business Decision: Expertise in extracting and manipulating terabytes of data sets from multiple databases (Oracle, Teradata, Microsoft SQL Server), ability to write complex but efficient SQL scripts, capability to connect to databases from both Windows and Unix environments using SQL tools as well as SAS, combining datasets using SAS Datastep, SQL and Hash Object, proficiency in detecting and remediating gaps commonly seen in business/customer data (missing value, extreme values and outliers).
Other technical and personal skills: Experience in Unix operating environment, Unix shell scripts, business intelligence tools
Bachelor’s Degree and 3+ years of related analytical work experience or Master’s Degree in quantitative discipline
Minimum two years of Financial Services Industry experience preferably with demonstrated knowledge of how the bank’s products, procedures and processes can be manipulated by criminals
Experience in changing a major business process based on root cause analysis.
Experience in knowledge of how inbound and outbound call-centre technology work is preferred
Strong analytical, interpretive, and problem solving skills, which will require interpreting large amounts of data and its impact in both operational and financial areas required.
Good understanding on customer experience, complaints analysis using text analytics etc is preferred.
Knowledge on process standardization, design and control documentation will be preferred.
Effective presentation and written communication skills, specifically the ability to create materials and lead discussions with executives on complex business issues
Must be adaptable to changing work priorities to address fast-moving fraud trends.