Responsibilities:

• Apply critical thinking and data engineering expertise to enhance our financial data systems and pipelines.
• Leverage knowledge of financial datasets to design, build, and maintain solutions that enable insights and data-driven decisions for our clients.
• Employ an agile approach to create, design, build, and deploy financial data solutions from ideation through rigorous testing, collaborating with cross-functional teams.
• Actively contribute to the company’s culture of continuous improvement by enhancing our data architecture, sharing insights, and collaborating on financial engineering solutions.

Qualifications / Experience:

• Masters degree in Computer Science, Data Engineering, Quantitative Finance, or a related technical field.
• A minimum of 2 years of experience is required, with 3-6 years of experience preferred in building, maintaining, and optimizing financial data pipelines, systems, or services.
• Advanced programming expertise with proficiency in Python (knowledge of other programming languages like Java or SQL is a plus).
• Skilled in database technologies (e.g., SQL, NoSQL) and experienced in handling large-scale financial datasets.
• Proficiency working with financial data vendors (e.g., Bloomberg, Refinitiv, or other similar APIs), including integration, management, and maintenance of external data feeds.
• Strong interest in staying informed about current technologies, financial data trends, and industry best practices, with the ability to assess and implement them in the organization.
• Excellent communication skills, with the ability to work effectively in cross-functional teams and explain technical concepts to non-technical stakeholders.

Apply now, if you fit the criteria and are keen to create your own entrepreneurial experience by being part of a growing team in search of excellence.  This role can be based in London or Luxembourg (though candidates must have the right to work in these locations) and with flexible hybrid working arrangements.

Please note that due to the high volume of applicants responding to our adverts we are regrettably not able to feedback on all applications; only successful candidates will be contacted