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JPMorgan Data Operations Senior Associate 
India, Maharashtra, Mumbai 
50321063

07.09.2024

Job summary:

  • Digital Ops- Drive Automation using analytical & visualization tools like [UI Path [ Studio & Doc Understanding, Instabase, Alteryx, Python, Tableau, etc.]
  • Governance & Project Management of projects/controls & risk across the operations
  • Drive Target Operating model changes – Project management & execution ownership
  • Continuous Analysis to identify process/Task with Operational risk and provide suggestion automation/elimination

Job Responsibilities:

  • Develop & code end to end using digital tools like UI Path, Instabase or Alteryx
  • Transform data science prototypes and applying appropriate ML algorithms and tools
  • Turn unstructured data from PDF, Scanned Images or Handwritten documents into useful information by auto-tagging images
  • Solve complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
  • Develop ML algorithms to analyze huge volumes of historical data to make predictions
  • Gather and analyses information from a variety of sources (SMEs, documentation, and technical) to create business process models within the process modeling methodology framework, using specified Visio / Signavio templates
  • Collaborate with business subject matter experts to understand and document business processes
  • Identify and document instances where existing business processes may be streamlined or improved
  • Serve as team representative at designated meetings and respond to questions/tasks related to business process management/modeling
  • Facilitate workshops, fact-finding interviews, project management activities, and other necessary activities to gather and synthesize information into their process models.
  • Produce written documentation and procedures to support their models.

Required qualifications

  • Bachelor's degree in computer science, data science, mathematics, or a related field.
  • 2+ years' experience as a machine learning engineer.
  • Advanced proficiency with Python and R code writing.
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
  • In-depth knowledge of mathematics, statistics, and algorithms.
  • Superb analytical and problem-solving abilities.
  • Great communication and collaboration skills.
  • Excellent time management and organizational abilities
  • Working knowledge of digital tools like UiPath, Alteryx & Instabase

Preferred qualifications:

  • Master’s degree in computational linguistics, data analytics, or similar will be advantageous.

Contribute to the strategic development of various products within Fund Services. Identify key areas of opportunity, creating robust business cases and ensuring appropriate levels of analysis are undertaken. Implement the project structure and governance required to deliver on the agreed strategy.

Further Function Specific Requirements

  1. Learn trade life cycle/ SDLC phases, documentation, analysis, testing and stakeholder management. Business and Domain learning will also be required to better understand and analyze the requirements
  2. Implement digital solutions through digital analytics tool by engaging with cross POTL leads.
  3. Enhancing problem solving and analytical thinking Ability
  4. Periodic governance scorecards to be published to all stakeholders
  5. Understand historical data & provide in depth analysis and recommendations to eliminate/reduce manual matches/bookings
  6. Partner with Operations on BRD / User stories
  7. Partner with Technology team / upstream teams on solution build / solution implementation.

EMEA Flexible: 12 PM to 9 PM