Index Data Operations Specialist

Charterhouse Pte Ltd; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

Charterhouse Pte Ltd is seeking an experienced operations professional in Singapore to manage and enhance a benchmark/index platform. The role involves overseeing daily operations, ensuring timely calculations, and maintaining data quality.

The ideal candidate will have 5-10 years of relevant experience, strong knowledge of financial markets, and familiarity with data providers like Bloomberg and MSCI. Proficiency in Python, SQL, or Tableau is an advantage.

Qualifications

• 5-10 years’ experience in index, benchmark, market data or investment operations.
• Strong understanding of financial markets and investment products.
• Experience with relevant data providers such as Bloomberg, MSCI, or Refinitiv.

Responsibilities

• Manage daily benchmark/index operations, ensuring timely and accurate calculations.
• Maintain strong data quality, controls and governance.
• Drive automation, process improvements and platform enhancements.

Skills

Index and benchmark operations

Data quality and governance

Analytical skills

Problem-solving skills

Stakeholder management

Tools

Bloomberg

Python

SQL

Tableau

MSCI

Refinitiv

S&P

Markit

Job description

Passionate about indices, market data and operational excellence? Help shape and evolve a world-class benchmark platform.

We’re looking for an experienced operations professional to manage and enhance a benchmark/index platform.

Responsibilities

• Manage daily benchmark/index operations, ensuring timely and accurate calculations and publication.
• Maintain strong data quality, controls and governance.
• Investigate and resolve data and operational issues.
• Drive automation, process improvements and platform enhancements.
• Partner with technology, data and business teams to deliver strategic initiatives.
• Support stakeholders on benchmark/index-related matters.

Requirements

• 5-10 years’ experience in index, benchmark, market data or investment operations.
• Strong understanding of financial markets and investment products.
• Experience with Bloomberg, MSCI, Refinitiv, S&P, Markit or similar data providers.
• Python, SQL or Tableau experience is an advantage.
• Strong analytical, problem-solving and stakeholder management skills.
• Passion for improving processes through automation and AI.