Vice President, Quantitative UX Researcher

Job Description
Join us to reshaping the future!
Job Title:
Vice President, Quantitative UX Researcher
Job Summary:
As a VP, Quantitative UX Researcher within Commerce Payments, you will be delivering actionable insights to inspire the next generation of digital wallet and payment products and help create frictionless and transparent experiences for customers. Additionally, you will be responsible for turning all of product development into a learning organization, guiding others on how to better conduct research and get the most out of our findings. You are also expected to be strong cross-functional partners with Design, Product Management, and Engineering, informing prioritization, planning, and decisions along the way to execution
Job Responsibilities:

• Synthesize data from a number of different sources to identify meaningful trends and patterns that will help improve the overall customer experience.
• Define metrics, evaluate results, draw conclusions and insights to design and recommend improvements, translating research insights into strategy.
• Define Data querying, wrangling, and analysis leveraging SQL and/or Python connecting to Snowflake Data Cloud.
• Drive multiple complex initiatives with minimal guidance, given the startup-like model with the suite of innovative products supported in this role.
• Using relevant statistical concepts (significance testing, regression/linear models) to design & measure experiments, customer driven segmentations and ad-hoc analysis.
• Work closely with a variety of internal & external stakeholders, across functions, to help identify opportunities to improve user experience within the design planning and prioritization process.

Required qualifications, capabilities, and skills:

• PhD/Masters or equivalent in Statistics (can include Social Science), Mathematics, Computer Science, Data Science, or relevant fields.
• Experience in product or design research, experimentation, and/or analytics.
• A balance of creative and analytical skills with the ability to proactively identify appropriate methods, execute studies, and synthesize findings.
• Strong programming skills with SQL and/or Python and a demonstrated ability working with large datasets.
• Convert data to actionable insights and leverage data visualization tools to effectively tell a story .
• Experience with relational databases and query optimization to pull and summarize large datasets with focus on efficiency and reducing server impacts.
• Excellent written and verbal communication skills, and comfortable presenting work to executive audiences.

Preferred qualifications, capabilities, and skills:

• Experience with longitudinal analysis, multilevel/mixed effects modeling, and/or survey weighting.
• Mixed methods research experience or hands-on experience leading end-to-end quantitative research studies.
• Experience with setting up experiments and defining measurement for early-stage products and new experiences.
• Familiarity with banking and finance a plus.
• Experience with both B2C and B2B is an advantage.
• Portfolio or examples of past projects with evidence of implementing findings that improved a product or feature design.

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of 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.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.