招聘

Quantitative UX Researcher (LLM), Vice President
Jersey City, NJ, United States, US
·
On-site
·
Full-time
·
1mo ago
Join us and apply your research skills to understanding digital product users and driving decisions which make those products better for our users. As a Quantitative UX Researcher (LLM), Vice President in the Behavioral Insights Team, you will play a pivotal role in shaping the user experience across our products and services. Leveraging your deep expertise in research methods and digital product delivery, you will design and execute research to uncover valuable insights into the wants, needs, and abilities of our users. Apply your advanced knowledge of quantitative methods to critically analyze the effectiveness of our existing and future designs as you collaborate with cross-disciplinary teams — your work will drive effective product decisions across the firm. You will join a research team with a culture of continuous learning, which will benefit from your thought leadership and expertise.
Job responsibilities
- Partner closely with colleagues across product, design and technology to design and execute research projects which inform strategy and decision-making
- Analyze and interpret data using advanced quantitative methods and translate insights into actionable recommendations to enhance user experience
- Define relevant metrics and facilitate their implementation to provide meaningful insights about product performance and user experience
- Advise colleagues on what to measure about user experience, both by tracking user behavior and by running user surveys
- Monitor industry trends in user experience research methods and incorporate innovative techniques to maintain a competitive edge in the market
- Collaborate with others as part of a culture of continuous learning and knowledge-sharing within the user experience team
Required qualifications, capabilities, and skills
- 5+ years of experience or equivalent expertise in generative and evaluative user experience research, with a strong focus on quantitative research methods
- Proven ability to conduct various research techniques, such as surveys, A/B tests and statistical modelling, to derive actionable insights to inform product decisions
- Experience in collaborating with cross-functional teams, including product managers, UX designers and developers, to propel user-centric decision-making and inform product prioritization
- Experience in designing high-quality research studies with an iterative mindset, with an ability to adapt study parameters to accommodate changing product design needs
- Experience analyzing and visualizing data using Python or R, focused on developing reproducible analytical pipelines
- Experience synthesizing large datasets from different sources to derive meaningful insights
- Experience distilling complex research findings into actionable insights and to communicate insights effectively to audiences with different levels of seniority and familiarity with research
Preferred qualifications, capabilities, and skills
- Advanced degree (e.g. MSc, PhD) in data science, behavioral science, social psychology, statistics, or another related field
- Experience with advanced statistical methods (e.g., longitudinal analysis, multi-level modeling, AI/ML techniques)
- Experience using experimental and quasi-experimental designs
- Familiarity with Tableau and/or Adobe Analytics
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.
300,000+
Employees
New York City
Headquarters
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Pros
Good pay and benefits
Work-life balance
Career advancement opportunities
Cons
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
Salary Ranges
47 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
21 reports
$126,500
total / year
Base
$110,000
Stock
-
Bonus
-
$95,450
$155,250
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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