JPMorgan Chase Careers Opportunities for Graduate (Any Graduates) | 0 - 5 yrs

JPMorgan Chase Jobs Vacancy for Fresher Graduate | Analyst | Any Graduate | 0 – 3 yrs | Apply Now

The JPMorgan Chase Institute seeks a Research Analyst in its Washington, D.C. office to lead and conduct economic research using propriety big data within JPMorgan Chase. The ideal candidate will have a strong background in economics or another quantitative social science; experience in statistics, data science and /or computer programming; have an entrepreneurial and proactive mindset, and be a strong communicator.

JPMorgan Chase Institute Research Analyst – USA

Job Description:
Conduct original economics research and data analysis using de-identified banking record transactions from JPMorgan Chase & Co and external datasets.
Perform literature reviews, edit and draft reports and other research materials.
Communicate analytical insights and be directly involved in the research process.
Work with large datasets using big data programming languages on a Hadoop platform, and produce statistical and visual analytics.
Gain and apply topic-specific knowledge in areas such as consumer finance, small businesses, housing finance, and financial markets.
Work alongside other researchers, PhD fellows, academic advisors, and internal thought-leaders to create cutting-edge analyses, using Institute data alone or in combination with existing publicly available data that add to both the public and academic discourse.

Qualifications
Bachelor’s degree required in statistics, economics, public policy, data science, or other related fields.
Ability to translate economic research into implications for policy makers and other decision makers.
Prior experience working with financial services or other administrative data sets is a plus.
Strong sense of intellectual curiosity and desire to be directly involved in the public-oriented mission of the Institute.
Capacity to work in a high-performance professional environment, with quick turn-around and changing priorities.
Experience working with big data sets (greater 100,000 observations) and big data techniques (e.g. machine learning).
Capacity to work in a high-performance professional environment, with quick turn-around and changing priorities
Commitment to intellectual rigor and observance of compliance and data privacy controls

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