Equities Operations Project Manager

JPMorgan Chase JPMorgan Chase · Banking · LONDON, United Kingdom · Commercial & Investment Bank

Project Manager for Equities Operations at JPMorgan Chase, focusing on transforming strategic plans into programs and projects, overseeing execution, utilizing data analytics, building data pipelines, and managing teams. Requires strong project management, data analytics, conflict management, strategic thinking, and Python/AWS skills.

What you'd actually do

  1. Lead the transformation of strategic plans into impactful programs and projects, applying project management and strategic thinking to deliver results across business units.
  2. Oversee program execution, ensuring alignment with business strategy, effective risk mitigation, and timely delivery of commitments.
  3. Utilize data analytics to monitor progress, make informed decisions, and direct necessary adjustments for successful outcomes.
  4. Build, migrate, and maintain scalable data pipelines using Python to AWS Simple Glue Jobs within defined timelines.
  5. Write and maintain documentation of technical architecture to ensure clarity and support for ongoing and future projects.

Skills

Required

  • Project management
  • Strategic thinking
  • Data analytics
  • Conflict management
  • Python
  • AWS
  • Data pipelines

Nice to have

  • Integrate artificial intelligence solutions
  • Implement automation
  • Foster a culture of innovation
  • Mentor team members

What the JD emphasized

  • Proven ability to lead and manage complex programs or projects, delivering results across various business units, typically demonstrated through relevant experience.
  • Demonstrated proficiency in data analytics, with the ability to interpret models, make inferences from data, and provide continuous insight for program execution.
  • Proven experience in conflict management, with the ability to identify conflicts, facilitate discussions, and create win-win solutions using collaboration or negotiation strategies.
  • Advanced computer literacy, with the ability to effectively use technology to perform tasks, solve problems, and communicate in a professional setting.
  • Proficiency in strategic thinking, with the ability to use data to understand issues and opportunities, evaluate potential scenarios, and collaborate on strategy and priority development.
  • Ability to design and implement scalable data pipelines for batch and real-time processing, with experience in AWS and modern data warehouse platforms.
  • Proficiency in Python, Simple Gluejob, and Data Analytics Tools.