Analyst-Public Finance

Analyst-Public Finance


Posted a month ago

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Department: GAC – US Public Finance (Analytical)

Reporting To: Manager

Location: Pune

Role Summary:

Functional Responsibility / Domain Related

  • Take complete responsibility for client delivery - quality, timeliness and completeness
  • Plan, evaluate, and improve the efficiency of business processes and procedures to enhance speed, quality, efficiency and output.
  • Establish and maintain relevant controls and feedback systems to monitor and ensure smooth running of the operations.
  • Ensure adherence to compliance policies and procedures of the organization
  • Leverage Data Science and Automation tools to create an integrated system that interfaces with existing systems and provides at a click of a button a consolidated preliminary analysis package

RPA project encompassing 3 broad requirements:

1) Automate Validation steps

2) Reconciliation of data for a given list of security ids against website info

3) Extraction of data from PDFs in a prescribed format

Build predictive tool/model that identifies and flags critical indicators (using a subset of key metrics/threshold levels) and underlying drivers (potentially using alternate data as well) to provide a more real time view.

Essential Qualification:

MBA or Masters in Project Management or technical/quantitative fields or equivalent


  • 1-3 years relevant experience in financial services industry
  • Proven experience of leading teams and global client management
  • Experience of supervising technical roles or projects, providing guidance on execution of technologies, and resolving challenges and issues during the projects


  • Conceptual thinking and Problem-solving skills
  • Excellent verbal and written communication skills
  • Experience with R programming and building interactive, user-friendly front-ends using Shiny, Knowledge of Python is a plus.
  • Experience in SQL/PL-SQL, writing queries and RDBMS
  • Well versed with handling large data sets on UI, and experience with sourcing and processing data sets as part of larger automation initiatives
  • Experience in end-to-end model development cycle is an advantage - from data gathering and cleansing to the documentation, development, validation, stress testing - and making presentations to key stakeholders, maintaining minutes of key decisions
  • Familiarity with quantitative risk models is an advantage