The JPMorgan Chase Institute is a global think tank dedicated to delivering data-rich analyses and expert insights for the public good. The mission of the JPMorgan Chase Institute is to help decision makers - policymakers, businesses, and nonprofit leaders - appreciate the scale, granularity, diversity, and interconnectedness of the global economic system and timely data and thoughtful analysis to make more informed decisions that advance prosperity for all.
Position Overview:
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.
Job Responsibilities:
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.
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.
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.
Candidate 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.
Experience working with big data sets (greater 100,000 observations) and big data techniques (e.g. machine learning).
Strong programming experience; programming languages include (SQL, Python, Scala).
Experience with big data computing on a Hadoop platform (e.g. Spark, Hive)
Experience working with technical collaboration tools (GIT, Jira) is a plus
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.
Commitment to intellectual rigor and observance of compliance and data privacy controls
Comfort with uncertainty and an entrepreneurial working context; flexibility to take on new roles and responsibility as the initiative evolves.
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
