The successful candidate will be involved in various data management tasks, including unstructured data, data validation, implementing transformation logic and conducting data quality checks.

Skillset Requirements:

• At least 3 years of hands-on experience in data management or data analytics within investment and banking industry.
• Experience in SQL and Python.
• Confident and comfortable engaging with various business end users and stakeholders at all levels.
• Meticulous, with a keen eye for details, especially with numbers.
• Experience in data validation and correction tasks.
• Able to multi-task across various activity streams
• Strong problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Agile, fast learner and able to adapt to changes.

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