Investment Data Analyst

Job description

Role Description

We are looking for a highly motivated Junior profile to manage securities/asset master data within the Sofia system and contribute to the improvement of large-scale data processing workflows. The candidate will join the Finance - Fund Accounting & Investment Support team and play a key role in managing and optimizing financial data, collaborating with various business functions to ensure accuracy and efficiency in processes

Main Responsibilities

• Manage, update, and maintain securities/asset master data within the Sofia system, leveraging info providers such as Bloomberg or ICE
• Monitor and verify the quality of financial data to ensure accuracy and compliance with applicable regulations
• Develop and implement automated tools and solutions to improve the efficiency of data management processes, using programming languages such as Python or other analytical tools
• Analyze and manage large datasets (big data) to support business decisions and optimize operational processes
• Collaborate with IT, Finance, Investment, and Risk Management teams to identify and resolve system and data-related issues
• Produce financial reporting and advanced analyses to support business activities
• Assist in defining and implementing best practices for data management and workflow optimization

Key Requirements

• Degree in Economics, Finance, Management Engineering, Mathematics, Statistics or related fields
• Previous experiences in similar roles, preferably in the financial or insurance sector
• Previous experience in managing securities/asset master data in systems such as Sofia or similar platforms
• Advanced knowledge of Python (or other programming languages) for data processing and analysis
• Familiarity with data management and analysis tools, such as advanced Excel, SQL, or business intelligence software (e.g., Power BI, Tableau).
• Knowledge of the financial sector and key financial instruments (stocks, bonds, derivatives, etc.).
• Ability to work with datasets and develop automated solutions to improve productivity
• Strong analytical skills and attention to detail
• Ability to work in a team and collaborate with various business functions
• Proactivity and problem-solving orientation
• Proficiency in English, both written and spoken