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Quantitative UX Researcher (LLM), Vice President

at J.P. Morgan

Back to all Data Science / AI / ML jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Quantitative UX Researcher (LLM), Vice President

at J.P. Morgan

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 25 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Jersey City
Country
United States

Lead and execute quantitative UX research to improve digital product experiences using surveys, A/B tests, statistical modeling, and reproducible analysis in Python/R. Partner closely with product, design, and engineering teams to define metrics, run experiments, and synthesize large datasets into actionable recommendations. Shape research strategy within the Behavioral Insights team, incorporate advanced methods, and communicate findings effectively to stakeholders across seniority levels.

Location: Jersey City, NJ, United States

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

 


 

Drive decision-making with user experience research insights, using advanced quantitative methods to inform product and service design.

Quantitative UX Researcher (LLM), Vice President

at J.P. Morgan

Back to all Data Science / AI / ML jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Quantitative UX Researcher (LLM), Vice President

at J.P. Morgan

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 25 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Jersey City
Country
United States

Lead and execute quantitative UX research to improve digital product experiences using surveys, A/B tests, statistical modeling, and reproducible analysis in Python/R. Partner closely with product, design, and engineering teams to define metrics, run experiments, and synthesize large datasets into actionable recommendations. Shape research strategy within the Behavioral Insights team, incorporate advanced methods, and communicate findings effectively to stakeholders across seniority levels.

Location: Jersey City, NJ, United States

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

 


 

Drive decision-making with user experience research insights, using advanced quantitative methods to inform product and service design.