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Quant Analytics Manager - Product Analytics , ARD

at J.P. Morgan

Back to all Data Engineering jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Quant Analytics Manager - Product Analytics , ARD

at J.P. Morgan

Tech LeadNo visa sponsorshipData Engineering

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Hyderabad
Country
India

Senior analytics manager role within Consumer Banking responsible for developing and modernizing analytics-ready data assets and leading product analytics initiatives (branches and ATMs). Collaborate with stakeholders to create proofs-of-concept, deliver data-driven insights, and present recommendations to senior leadership. Oversee automation, data controls, and large/complex datasets while mentoring team members to ensure high performance and timely delivery.

Location: Hyderabad, Telangana, India

Join us to shape the future of Consumer Banking analytics and unlock new opportunities for career growth and innovation.

As a Quant Analytics Manager in the Consumer Banking Data and Analytics team, you will drive the creation and enhancement of analytically ready data assets and innovative analytics solutions. You will collaborate with stakeholders to deliver impactful insights, support business objectives, and foster a data-driven culture.

Job responsibilities

  • Develop and maintain analytics-ready datasets for Consumer Banking products
  • Lead product analytics initiatives, focusing on branches and ATMs, by creating proof of concepts that demonstrate business value
  • Collaborate with stakeholders to understand challenges and deliver data-driven solutions
  • Create presentations and data visualizations to communicate insights and recommendations to senior leadership
  • Identify high-impact projects and guide key decisions using data
  • Monitor progress on community banking initiatives to support business objectives
  • Mentor and coach team members to foster consistent high performance
  • Required qualifications, capabilities, and skills

  • Twelve years of industry experience in analytics reporting, data engineering, or related data roles, including leading complex projects
  • Understanding of cloud, distributed systems, ETL/ELT, and data lakes
  • Experience with data platforms such as Snowflake and Databricks
  • Strong storytelling skills with the ability to convey complex information to senior executives
  • Demonstrated ability to analyze problems, design solutions, and communicate effectively with stakeholders
  • Experience working with large, complex datasets and automating data processes
  • Strong data controls mindset, ensuring appropriate documentation, testing, and validation
  • Preferred qualifications, capabilities, and skills

  • Experience navigating complex, matrixed organizations and supporting multiple stakeholders
  • Proven track record of delivering analytics solutions under strict timelines
  • Lead the development and modernization of analytics-ready data assets to drive impactful business decisions.

    Quant Analytics Manager - Product Analytics , ARD

    at J.P. Morgan

    Back to all Data Engineering jobs
    J.P. Morgan logo
    Bulge Bracket Investment Banks

    Quant Analytics Manager - Product Analytics , ARD

    at J.P. Morgan

    Tech LeadNo visa sponsorshipData Engineering

    Posted a month ago

    No clicks

    Compensation
    Not specified

    Currency: Not specified

    City
    Hyderabad
    Country
    India

    Senior analytics manager role within Consumer Banking responsible for developing and modernizing analytics-ready data assets and leading product analytics initiatives (branches and ATMs). Collaborate with stakeholders to create proofs-of-concept, deliver data-driven insights, and present recommendations to senior leadership. Oversee automation, data controls, and large/complex datasets while mentoring team members to ensure high performance and timely delivery.

    Location: Hyderabad, Telangana, India

    Join us to shape the future of Consumer Banking analytics and unlock new opportunities for career growth and innovation.

    As a Quant Analytics Manager in the Consumer Banking Data and Analytics team, you will drive the creation and enhancement of analytically ready data assets and innovative analytics solutions. You will collaborate with stakeholders to deliver impactful insights, support business objectives, and foster a data-driven culture.

    Job responsibilities

  • Develop and maintain analytics-ready datasets for Consumer Banking products
  • Lead product analytics initiatives, focusing on branches and ATMs, by creating proof of concepts that demonstrate business value
  • Collaborate with stakeholders to understand challenges and deliver data-driven solutions
  • Create presentations and data visualizations to communicate insights and recommendations to senior leadership
  • Identify high-impact projects and guide key decisions using data
  • Monitor progress on community banking initiatives to support business objectives
  • Mentor and coach team members to foster consistent high performance
  • Required qualifications, capabilities, and skills

  • Twelve years of industry experience in analytics reporting, data engineering, or related data roles, including leading complex projects
  • Understanding of cloud, distributed systems, ETL/ELT, and data lakes
  • Experience with data platforms such as Snowflake and Databricks
  • Strong storytelling skills with the ability to convey complex information to senior executives
  • Demonstrated ability to analyze problems, design solutions, and communicate effectively with stakeholders
  • Experience working with large, complex datasets and automating data processes
  • Strong data controls mindset, ensuring appropriate documentation, testing, and validation
  • Preferred qualifications, capabilities, and skills

  • Experience navigating complex, matrixed organizations and supporting multiple stakeholders
  • Proven track record of delivering analytics solutions under strict timelines
  • Lead the development and modernization of analytics-ready data assets to drive impactful business decisions.