Our Data & Analytics and UX Research teams are designing for the global diversity of human needs, which requires us to deeply understand the behaviors of the people behind them. We are looking for a creative and resourceful Quant Analytics Lead with strong design research skills to join our rapidly growing team of innovators, disruptors, and problem solvers.

We are looking for someone who can think outside the box and provide fresh thought leadership, but we are also looking for an individual who will complement and embody our team culture - caring and empathizing with our customers, showing kindness, seeing a need or pain point, and actively reaching out to help.

Contribute to innovative experience design, blending user needs with business goals in the dynamic environment of financial services.

As a Quantitative Analytics Researcher, Vice President in our Data & Analytics and UX Research teams, you will play a pivotal role in shaping the user experience of our products and services by leveraging your advanced knowledge of quantitative analytics and design research principles. Collaborating with cross-functional teams, create innovative, inclusive, and accessible solutions that cater to a diverse range of users. As a core contributor, align user needs with business goals. Your strong understanding of data analytics and statistical concepts will contribute to the continuous improvement of our offerings, navigating complex problems and driving strategic thinking. Your impact will be significant in the design, architecture, and functionality of our products, ensuring a seamless and enjoyable experience for our customers.

As a part of our team, you will contribute to the shaping of digital tool experiences for JPMC firmwide teams who plan for, test, and manage disruptions to business. We work to create optimized user experiences via elegant problem-solving for complex tooling needs.

Job Responsibilities:

Experience with data querying, wrangling, and analysis; proficient in SQL and/or Python with a working knowledge of Snowflake Data Cloud. Knowledgeable of relevant statistical concepts (significance testing, regression/linear models). Experience in product research, market research, and/or analytics, including hands-on experience leading end-to-end quantitative research studies. Some mixed methods research experience is preferred but not required. Self-starter and problem solver who loves “getting in the weeds” with quantitative data (including survey data, public “big data” repositories, and internal logged data). A balance of creative and analytical skills with the ability to proactively define research questions, identify appropriate methods, execute studies, and synthesize findings. Strong communicator with a bias toward action to proactively collaborate with multiple teams. Experience with longitudinal analysis, multilevel/mixed effects modeling, and/or survey weighting a plus.

Required Qualifications, Capabilities, and Skills:

PhD/Master or equivalent in Statistics (can include Social Science), Mathematics, Computer Science, Data Science, or relevant fields. 5+ years of experience planning and executing user research studies. Ability to drive multiple medium complexity initiatives with minimal guidance. Strong programming skills with SQL and/or Python and a demonstrated ability working with extremely large datasets. Strong analytical and problem-solving abilities. Ability to champion user experience research and integrate within the design planning, estimation, and prioritization process. Demonstrated ability to incorporate design thinking into the product development process. Clear and articulate communication skills.

Preferred Qualifications, Capabilities, and Skills:

Familiarity with banking and finance a plus. Experience with B2B research (not just consumer) an advantage. Portfolio or examples of past projects. Ability to train and mentor junior team members.