Data Operations Manager (Reference Data & Asset Class) - Part-Time

• 12-month contract role to start with
• Offering hybrid work arrangements

About the role:

You will be a part of a team tasked with data management, encompassing data analysis, support, stewardship, and reporting for the investment management process.

Roles and Responsibilities:

• Perform specialized tasks, which include maintaining data in internal repository systems and addressing data queries from life clients and other stakeholders.
• Ensure data quality assurance for multiple datasets, including pricing, securities and reference data, benchmarks, portfolios, and funds.
• Conduct monthly reporting for the largest client, involving Asset data and holdings, ensuring timeliness.
• Analyze data and resolve issues related to investment data queries raised by life clients and internal/external stakeholders.
• Ensure that data quality aligns with the organization’s data management governance process.
• Publish PowerBI reports to various stakeholders using clean, validated data for reporting consumption.
• Engage with IT Support and Development teams to resolve issues encountered during the reporting cycle promptly.

Experience:

• Degree in Business/Finance/IT or related discipline
• Holds prior data management experience in large banking institutions, particularly within the financial services sector, with a preference for Asset Management.
• Familiarity with investment platforms such as GoldenSource is advantageous.
• Knowledge of SQL, PowerBI, and Python language skills is considered beneficial.
• Experienced in asset data reporting for clients, specifically with Instrument Reference data and Positions.
• Proficient in understanding data management governance frameworks.
• Exhibits excellent customer focus, with a high level of accuracy and attention to detail.
• Shows the ability to work collaboratively within a small team.
• Possesses a deep understanding of asset management enterprise data, including associated Demonstrates working knowledge of data vendor systems such as Bloomberg, Reuters, S&P, etc.

If you have the relevant experience, we encourage you to apply.

Argyll Scott Consulting Pte Ltd