Fixed Income Analyst: Client Solutions & Training

Numerix; Milano; On-site; EUR 52,000 - 78,000; Full time

Job summary

A leading financial technology company seeks candidates for a role based in Milan, providing analytical support and software training to clients across North America and Europe. Applicants should have a BA/BS degree in a quantitative or STEM discipline and experience with analytical problem-solving. Strong communication skills and proficiency in Windows and Microsoft Office are necessary, while extra skills in Python, SQL, and cloud computing are advantageous. This role requires working closely with EMEA clients to solve production-critical issues and enhance product functionality.

Qualifications

• Degree in mathematics, computer science, engineering, or physical sciences.
• Experience solving problems in analytical roles.
• Ability to convey insights to technical and non-technical audiences.

Responsibilities

• Provide analytical support and software training to clients.
• Resolve production-critical issues for clients in EMEA.
• Consult on system usage and sophisticated numerical problems.

Skills

Analytical experience using a data-driven approach

Strong communication and presentation skills

Hands-on experience with Windows

Experience with Microsoft Office

Continuous eagerness to learn

Education

BA/BS degree in a quantitative or STEM discipline

Tools

Python via Visual Studio Code

Microsoft SQL Server

Amazon Web Services (AWS)

Microsoft Azure

Ubuntu Linux

Job description

A leading financial technology company seeks candidates for a role based in Milan, providing analytical support and software training to clients across North America and Europe. Applicants should have a BA/BS degree in a quantitative or STEM discipline and experience with analytical problem-solving. Strong communication skills and proficiency in Windows and Microsoft Office are necessary, while extra skills in Python, SQL, and cloud computing are advantageous. This role requires working closely with EMEA clients to solve production-critical issues and enhance product functionality.