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Use left and right arrow keys to navigate
Hours Full-time, Part-time
Location new york, New York

About this job

J.P.Morgan

Chase & Co. is a leading global financial services firm with assets of $2.1

trillion and operations in more than 60 countries. We are a leader in asset

management and private equity, investment banking, private banking, financial

services for consumers, financial transaction processing, and small-business

and commercial banking. Our broad global platform and strength enable us to

create long-lasting value for our clients. J.P.Morgan 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.

Global

Wealth Management (GWM) is comprised of the US and International Private Bank

and J.P.Morgan Securities businesses. J.P. Morgan Global Wealth Management

provides integrated wealth management services for ultra high net worth and

high net worth families and individuals worldwide, overseeing more than $1

trillion of client balances across credit, deposit, investment management,

capital market and trust products.

We are a team of talented and high-achieving

analytics professionals, focused on statistical modeling within the Treasury

group of Asset Management, the investment and wealth management division of

JPMorgan Chase. We are united by our passion for using quantitative data

analytics and decision sciences to help make JPMorgan Chase a global leader in

investment solutions and wealth management.

We solve complex quantitative business problems,

both structured and unstructured, using advanced analytical methods and

leveraging one of the world's largest data warehouse implementations. We

do this in close tandem with our partners in Finance and Risk, to help them

make, execute, and assess critical business decisions.

This position will be focused specifically on

building models to support the regulatory requirements of the bank. Key

responsibilities of the position will include:

*

Building models to support the CCAR (stress test) process

*

Documenting models and working through the model review process.

The intern will work closely with senior

statisticians in the group, as well as with members of Finance and other parts

of the asset management business as well as the firm broadly.

We are looking for that rare breed of analytics

professional that possesses:

*

Exceptional unstructured problem solving skills

*

Outstanding communications skills

*

Professional maturity and demonstrated leadership

ability

*

An enthusiastic, dynamic personality

*

Technical proficiency

You should be very comfortable handling highly

unstructured business problems and executing all phases of an analytical

engagement, from clarifying the problem, to conducting the analysis, to

presenting findings and recommendations to senior management. Solo or in collaboration, you will own entire

projects.

In terms of specific background, interns should

have passed qualifying exams on the way to a doctoral degree in a quantitative

field of study, with a sound foundation in one or more of the following

analytical disciplines:

*

Data manipulation and management

*

Data visualization

*

Linear and non-linear statistical modeling

*

Time series and forecasting

*

Bayesian methods

*

Optimization