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in New York, NY
Asset Management - Global Wealth Management - Finance Summer Intern
•30 days ago
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
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