Trainee Data Analyst

Department: Operations

Location: Luxembourg

Description

Langham Hall is one of the fastest growing businesses in the alternatives fund administration sector. It is also one of the last remaining owner managed businesses, providing premium quality accounting, administration and investor reporting services to private equity and fund clients. Langham Hall has a dynamic management and leadership team, all of whom are involved in client work which ensures a rigorous focus on quality of client work and support for the teams. The group has a presence in the UK, Jersey, Guernsey, Luxembourg, Hong Kong, Singapore and New York and 800 staff administering more than $180bn of private equity and real estate funds. Langham Hall is also a leading provider of AIFMD services, with depositary services safekeeping more than $150bn of assets. It is licensed as a Host AIFM and Depositary in the UK and Luxembourg in respect of private equity, real estate, debt and infrastructure funds.



The Role

Mission: Support the current migration of clients’ accounting data to a new system

• Support the implementation of Wolfram for new and current clients.
  • Migrate current clients to Wolfram which will include transforming and cleansing data to the Wolfram format using Microsoft excel.
  • Perform testing and 1st line support for the Wolfram product.
    
    

In addition to the responsibilities listed above, you may be required to perform other IT related ad hoc duties or projects.

Technical Knowledge and Personal Requirements

· Computer literate with a good understanding of Microsoft Excel formulas and functions
· A basic understanding of accounting principles is an asset
Passion for learning and extending your knowledge.
· Strong attention to detail.
· Excellent communication in English, especially the ability to listen and understand business needs.
· Strong problem solving and analytical skills, with an eye for detail to identify patterns.

Minimum Education/Qualifications

· Currently pursuing a degree in Data Science, Computer Science, Engineering, or a related field.
· Excellent problem-solving skills and attention to detail