Ensure accurate investment data and reporting;
Support automation and process improvements.
Client Details
Global wealth manager with $76B assets under management
Description
- Ensure timely and accurate processing of multi-asset class daily transaction data
- Perform daily and monthly reconciliation of investment portfolios
- Validate and analyze investment performance data using methodologies such as Time-Weighted Return (TWR)and Internal rate of return (IRR)
- Prepare customized client reports on a monthly and quarterly basis
- Support the automation of operational processes in collaboration with the technology team
- Maintain strong data integrity and governance standards, including audit and documentation routines
- Contribute to operational and performance-related projects, including data integration and process optimization
- Promote a data-first culture across operational workflows
Profile
- Experience in investment performance analysis, portfolio reporting, or operations within wealth management, asset management, or private banking
- Master's degree or equivalent in Finance, Computer Engineering, Data Analytics, Math or a quantitative field
- Proven Experience in Banking Reconciliation with knowledge of product classification schemas, investment products (liquid and illiquid, public and private)
- Deep understanding of investment performance measurement methodologies, including TWR and IRR
- Strong proficiency in Excel and confidence working with large, complex datasets
- Experience with Addepar or similar investment data platforms
- Experience working with VBA, Python, Power BI or other Business intelligence tools
- Fluent in Portuguese and English (spoken and written); other European languages are a plus
- Strong attention to detail, with analytical thinking and structured thinking
- Self-starter and outside-of-box mindset with a desire to improve processes and automate manual tasks
Job Offer
- Opportunity to grow in a global financial environment;
- Collaborative and entrepreneurial culture;
- Exposure to digitalization and automation projects.