Data Operations & Reporting Associate Lisboa

Data Operations & Reporting Associate
Lisboa
Lisboa, Lisboa, Portugal

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About Us

Al
Ti Tiedemann Global (“Al
Ti”) is a NASDAQ listed global wealth manager, creating possibility, impact and legacy for the most discerning and dynamic owners of capital in the world. The firm currently manages or advises on approximately $76 billion in combined assets and has an expansive network of c. 400 professionals across three continents.

About Us

Al
Ti Tiedemann Global (“Al
Ti”) is a NASDAQ listed global wealth manager, creating possibility, impact and legacy for the most discerning and dynamic owners of capital in the world. The firm currently manages or advises on approximately $76 billion in combined assets and has an expansive network of c. 400 professionals across three continents.

Our work ranges from helping clients leave a lasting legacy or create meaningful impact in the world, to structuring a complex estate or investing in compelling alternatives. Whether our clients are individuals or institutions, foundations or
- generational families, we offer a connected ecosystem of advice, solutions and investment opportunities from across our global network.

We are passionate about finding better ways to serve our clients. We foster a firmwide culture of collaboration and an entrepreneurial approach. We believe these differences make us better suited for a
- changing world.

As a growing global firm with offices in 20 major financial centers, we are looking for talented individuals to expand our team. If you share our passion for ideas and commitment to excellence, we want you to join us.

To learn more visit
- global.com.

Job Description

Job Description

We are looking for a
- oriented and analytical Data Operations & Reporting Associate to join our team based in Lisbon. The ideal candidate will bring a strong understanding of finance and investment performance, combined with a genuine passion for data quality, reporting, and operational excellence.

This role is central to ensuring the accuracy, consistency and timely delivery of investment data and reports for
-
- worth clients.

You will work closely with both local and international teams, supporting daily operational workflows, data validation, and ongoing process improvements. This is an excellent opportunity to grow within a global wealth management environment and contribute to the digitalization and automation of core processes.

Job Responsibilities

• Ensure timely and accurate processing of
  - 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
  - related projects, including data integration and process optimization
• Promote a
  - first culture across operational workflows
  
  

• At least 5 years of 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
  -
  - box mindset with a desire to improve processes and automate manual tasks
  
  

• Studying towards or interest in professional certifications such as CFA
• Experience in databases and SQL, with knowledge of analytical SQL functions an advantage
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Management and Manufacturing

• Industries

  Investment Management

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