JP Morgan Chase Institute - Data Science Research Associate
Washington, DC, United States
JPMorgan Chase & Co.
Join the team that conducts impactful economic research utilizing big data for the public good.
As a Data Science Research Associate within the JPMorgan Chase Institute you will conduct economic research under the guidance of a Research Lead using proprietary big data from within JPMorgan Chase.
Job Responsibilities:
- Work alongside other researchers, PhD fellows, academic advisors, and internal thought-leaders to create cutting-edge analyses, using large data sets of de-identified banking records alone or in combination with existing publicly available data that add to both the public and academic discourse.
- Work with large data sets using big data programming languages on a public cloud platform and produce statistical and visual analytics.
- Gain and apply topic-specific knowledge in areas such as consumer finance, small businesses, middle market businesses, housing finance, and financial markets.
- Communicate analytical insights and be directly involved in the research process.
- Perform literature reviews, edit and draft reports and other research materials.
Required Qualifications, Capabilities, and Skills:
- Bachelor’s degree required in statistics, economics, public policy, data science, or other related fields.
- Experience working with big data sets and strong programming experience with Python, Scala, and/or SQL and experience in statistical languages (R, SAS, Stata).
- Ability to translate economic research into implications for policy makers and other decision makers.
- 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.
Preferred Qualifications, Capabilities, and Skills:
- Experience with big data computing on a public cloud platform (e.g. Spark, AWS) is a plus.
- 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.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Banking Big Data Economics Finance Git Jira PhD Privacy Python R Research SAS Scala Spark SQL Stata Statistics
Perks/benefits: Career development Competitive pay Health care Wellness
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