Quant Analytics Manager

J.P. Morgan; New York (NY); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

J.P. Morgan is seeking a Quant Analytics Manager to drive customer-centric analytics for their Digital Analytics team. You will enhance user experience by analyzing data and providing recommendations that influence strategic marketing initiatives. In this capacity, collaboration with Digital Product and Tech teams is essential to delivering actionable insights.

The ideal candidate will have over 7 years of experience in digital analytics and possess a Bachelor's in a relevant field. The role offers a robust benefits package and emphasizes the importance of diversity and inclusion in the workplace.

Qualifications

• 7+ years of experience analyzing customer experiences and digital products.
• Proven track record of translating data into actionable insights for business leaders.
• Superior communication skills with experience engaging all management levels.

Responsibilities

• Analyze digital customer behaviors and craft compelling narratives.
• Lead the OKR management process to track strategic goals.
• Foster data-informed decisions and experimentation through collaboration.

Skills

Data analysis

Data storytelling

SAS

SQL

Problem solving

Communication

Education

Bachelor's degree in data science, mathematics, statistics, econometrics, or engineering

Tools

Python

R

Alteryx

Tableau

Adobe Analytics

Job description

Job Summary

As a Quant Analytics Manager on the Digital Analytics team you support an extensive portfolio of digital products by using data to provide recommendations that enhance the customer experience and build long‑term, profitable customer relationships. In this role, you will be the driver of the analytics book of work that is transforming Chase’s cross‑channel, cross‑line of business strategy to a hyper‑personalized, data‑driven, customer‑centric model.

Your expertise in digital data and analytical thought leadership will be used to help define OKRs, develop and measure A/B tests, scope strategic analytical questions and create analytical plans providing insights to drive outcomes for Chase’s 75 million digital customers. You will be responsible for delivering actionable analysis in clear and compelling terms while building relationships with Digital Product, Tech, Design, Strategy and more. The ideal candidate should be self‑driven and independent, motivated to establish and grow a platform to push the business forward.

Job Responsibilities

• Data Storytelling: Analyze and visualize digital customer behaviors to craft compelling narratives that drive insights and action.
• OKR Management: Lead the creation, iteration, reporting, and causal analysis of OKRs to track and achieve strategic goals.
• Data-Driven Decision Making: Foster data-informed decisions and experimentation by establishing strategic partnerships, promoting best practices, and ensuring clear communication.
• Opportunity Identification: Develop OKRs and conduct deep‑drive analyses to uncover opportunities for driving Digital CSAT, Engagement, and Deepening.
• Consultation: Serve as a subject matter expert in Digital data, providing consultation to the broader Data & Analytics organization.

Required Qualifications

• 7+ years of experience analyzing customer experiences, digital products/usage
• Proven track record of problem‑solving using data and building new analytics capabilities. Talent for translating numbers into an actionable story for business leaders
• Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners
• Experience in querying big data platforms and SAS/SQL
• Experience with digital analytics
• Bachelor’s degree is required (preferred in data science, mathematics, statistics, econometrics, engineering, or related fields).

Preferred Qualifications

• Hands‑on experience with generative AI solutions, including large language models, retrieval‑augmented generation, and agentic AI frameworks.
• Experience with analytical tools such as Python, R, Alteryx, Tableau, and Adobe Analytics
• Experience working with Big Data environments (i.e., Snowflake, AWS)
• Experience with A/B testing

Benefits

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.

Equal Opportunity Employer / Disability / Veterans

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.