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Quant Analytics ManagerJPMorgan ChaseJersey City, New Jersey, United States
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Quant Analytics Manager

JPMorgan Chase
  • US
    Jersey City, New Jersey, United States
  • US
    Jersey City, New Jersey, United States

À propos

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 drive the analytics work that is transforming Chase’s cross‑channel, cross‑line of business strategy to a hyper‑personalized, data‑driven, customer‑centric model. 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‑dive 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, Skills, and Responsibilities
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, Skills, and Responsibilities
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. Equal Opportunity Employer & EEO Statement
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. 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. Compensation
Jersey City, NJ: $133,000.00 – $205,000.00 per year; Brooklyn, NY: $133,000.00 – $205,000.00 per year.
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  • Jersey City, New Jersey, United States

Compétences linguistiques

  • English
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