Investment Data Analyst

Invartis Consulting; Melbourne; On-site; AUD 90,000 - 120,000; Full time

Job summary

Invartis Consulting in Melbourne is seeking an Analyst, Investment Data Management. You will ensure data quality, governance and availability across the investment ecosystem, supporting data across securities, benchmarks, counterparties and portfolios.

The role emphasizes data quality controls, issue resolution and participation in strategic data initiatives, with collaboration across Investment, Operations, Risk, Finance and Technology teams.

Qualifications

• Bachelor's degree in a finance/data-related field.
• 2–5 years experience in investment operations or data management.
• Strong understanding of financial markets and instruments.
• Experience managing or analyzing investment, market, benchmark or reference data.

Responsibilities

• Maintain and monitor investment data across platforms.
• Support management of security master, benchmark, issuer, counterparty and portfolio reference data.
• Validate, reconcile and investigate data discrepancies across systems and providers.
• Ensure data is complete, accurate and available per SLAs.
• Assist onboarding of new investment instruments, portfolios and data sources.

Skills

Analytical skills

Communication skills

Stakeholder management

SQL

Advanced Excel

Education

Bachelor's degree in Finance, Economics, Commerce, Accounting, Information Systems, Data Analytics or related discipline

Tools

FactSet

Aladdin

Pearl

GoldenSource

Job description

Location – Melbourne

Employment Type: Full-time

Experience: 2–6 years

Job Description - Analyst, Investment Data Management

Role Overview

The Analyst, Investment Data Management is responsible for ensuring the quality, integrity, governance, and effective management of investment data across the investment ecosystem. The role supports the delivery of accurate and timely security, portfolio, benchmark, counterparty, and reference data used by investment, risk, operations, finance, performance and reporting functions. Working within the Data Management team, the Analyst will contribute to daily operational activities, data quality oversight, issue resolution, process improvement initiatives and strategic data management programs.

Investment Data Management

• Maintain and monitor investment data across multiple platforms.
• Support the management of security master, benchmark, issuer, counterparty and portfolio reference data.
• Validate, reconcile and investigate data discrepancies across internal systems and external data providers.
• Ensure data is complete, accurate and available in accordance with business requirements and service level expectations.
• Support onboarding of new investment instruments, portfolios, benchmarks and data sources.

Data Quality & Governance

• Execute data quality controls and exception management processes.
• Investigate root causes of data issues and implement sustainable remediation actions.
• Contribute to data standards, business rules, taxonomies and governance frameworks.
• Monitor and report data quality metrics and trends.
• Maintain documentation relating to data lineage, operational procedures and control frameworks.

Stakeholder Support

• Partner with Investment, Operations, Risk, Finance, Performance & Analytics and Technology teams to resolve data-related issues.
• Provide timely support for reporting, regulatory requirements and business initiatives.
• Act as a subject matter contributor for investment data within projects and change initiatives.

Skills & Experience - Essential

• Bachelor's degree in Finance, Economics, Commerce, Accounting, Information Systems, Data Analytics or related discipline.
• 2-5 years experience in investment operations, investment data management, portfolio services, market data or related functions.
• Strong understanding of financial markets and investment instruments including equities, fixed income, foreign exchange and OTC derivatives.
• Experience managing or analysing investment, market, benchmark or reference data.
• Advanced analytical and problem-solving skills with strong attention to detail.
• Strong communication and stakeholder management skills.

Preferred

• Experience in an institutional investment, superannuation, sovereign wealth, endowment or asset management environment.
• SQL, Advanced Excel skills for analyzing large and complex datasets
• Experience with FactSet, Aladdin, Pearl, GoldenSource or similar platforms.

Success Measures

• Consistent delivery of accurate, complete and timely investment data.
• Reduction in recurring data quality issues through effective root-cause analysis.
• Strong stakeholder satisfaction across business functions.
• Effective contribution to strategic data initiatives and system enhancements.
• Adherence to governance, risk and control requirements.