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Associate - Strategic Analytics

Req #: 180000070
Location: Mumbai, MH, IN
Job Category: Accounting/Finance/Audit/Risk
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 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.


As part of the Fraud Loss Forecasting Team, you will be expected to perform quantitative and qualitative analysis on Net Operating Loss, Cards and Overdraft Fraud Losses. Expectations include assisting in developing, maintaining, and improving Fraud Loss Forecasting, creating business overlays, Loss Reporting, conducting complex analysis and providing accurate and concise results with recommendations to management. Primarily use advanced tools and techniques to perform assigned work. You will be responsible for owning processes and will be accountable for regular reporting or process administration.



Key Activities

  • Develop New or enhance existing Loss forecasting Models for all Fraud Loss lines

  • Maintain Loss Forecasting Model by ensuring timely and accurate Budget updates

  • Provide Short term loss projections to Operations and Strategy Teams

  • Liaise with Operations , business functions and strategy owners to understand business changes and operations  impact  and to implement the same in  forecast adjustments

  • Development , Maintain and Improve Loss Reporting

  • Provide independent assessment on root cause /drivers behind variance of actuals vs. forecast.

  • Identify areas of opportunity through data analytics  and statistical analysis

  • Master’s / Bachelor's degree in a quantitative discipline; Math, Finance, Statistics, Economics or equivalent work/training is required; advanced degree is preferred.

  • 4- 5 years of related analytical experience

  • Strong knowledge and understanding of financial services

  • Strong analytical, technical and statistical skills.  Ability to synthesize / analyze diverse information, develops recommendations, and makes decisions.

  • 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.

  • Strong communication and interpersonal skills, ability to interact with individuals across departments / functions and with senior-level individuals. 

  • 2+ years of SAS programming experience (PC, UNIX or mainframe).

  • Highly proficient in Microsoft Office suite of products

  • Knowledge for VBA / Tableau is preferred

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