Sustainable Investment/ESG Data Analyst

LSEG

Bengaluru

On-site

INR 600,000 - 900,000

Full time

5 days ago
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Job summary

LSEG in Bengaluru seeks a data quality specialist to review Sustainable Investment datasets, validate data inputs and outputs for accuracy, and investigate anomalies with vendors and internal teams. The role includes onboarding new datasets, testing, and contributing to data controls and governance to enhance automation and scalability.

You will collaborate with Product, Technology, Engineering, and Data Governance to improve processes and ensure timely, reliable data for financial products and

Qualifications

  • 2+ years’ experience in data quality, validation, or ESG data.
  • Understanding of how Sustainable Investment data is used in financial products or benchmarks.
  • Strong analytical and problem-solving skills with attention to detail.
  • Experience liaising with external data providers, vendors, or research partners.
  • Ability to work effectively with large and complex datasets.
  • Excellent verbal and written communication skills, able to articulate data quality issues to technical and non-technical stakeholders.

Responsibilities

  • Perform periodic reviews of Sustainable Investment datasets, validating data inputs and outputs for accuracy, completeness, consistency, and timeliness.
  • Investigate data anomalies, exceptions, and unexpected trends with vendors and internal stakeholders to resolve root causes.
  • Conduct data challenge and exception management with evidence and audit trails.
  • Support onboarding and evaluation of new Sustainable Investment datasets, including vendor due diligence and testing.
  • Contribute to enhancement of data controls, validation frameworks, and operational procedures.
  • Partner with Product, Technology, Engineering, and Data Governance to improve systems, automation, and scalability.
  • Participate in user acceptance testing, platform migrations, and process changes affecting data.
  • Support governance reporting, data quality metrics, vendor performance monitoring, and control reviews.

Skills

Data quality
Data validation
Data operations
ESG data
Sustainable Investment
Root cause analysis

Job description

ROLE
  • Perform periodic reviews of Sustainable Investment datasets, validating data inputs and outputs for accuracy, completeness, consistency, and timeliness.
  • Investigate data anomalies, exceptions, and unexpected trends, working directly with data vendors and internal stakeholders to understand root causes and drive resolution.
  • Conduct data challenge and exception management activities, maintaining appropriate evidence and audit trails.
  • Support the onboarding and evaluation of new Sustainable Investment datasets, including participation in vendor due diligence and testing activities.
  • Contribute to the enhancement of data controls, validation frameworks, and operational procedures.
  • Partner with Product, Technology, Engineering, and Data Governance teams to improve systems, automation, and operational scalability.
  • Participate in user acceptance testing, platform migrations, and process change initiatives affecting Sustainable Investment data.
  • Support governance reporting, data quality metrics, vendor performance monitoring, and control effectiveness reviews.
REQUIREMENTS
  • 2+ years’ experience in data quality, data validation, data operations, or ESG/Sustainable Investment data.
  • Understanding of how Sustainable Investment data is used in financial products, benchmarks, or investment processes.
  • Strong analytical and problem‑solving skills with exceptional attention to detail.
  • Experience investigating data quality issues and performing root cause analysis.
  • Experience liaising with external data providers, vendors, or research partners.
  • Ability to work effectively with large and complex datasets.
  • Excellent verbal and written communication skills, able to clearly articulate data quality issues to technical and non‑technical stakeholders.
  • Self‑motivated, curious, and committed to continuous improvement.
BENEFITS
  • Opportunity to
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