Python-Driven Data Analytics & Automation Specialist

AXCO; Lisboa; Presencial; EUR 27 000 - 35 000; Tempo integral

Resumo da oferta

AXCO is seeking a Data Analytics & Automation Specialist to support Securities & Prime Operations in a dynamic international financial services environment, focusing on process optimisation, automation, and AI-driven initiatives.

The role involves identifying pain points, analysing operational data, developing Python-based prototypes, automating reporting and data collection, and translating business needs into concrete specifications for successful, measurable improvements.

Qualificações

• Bachelor's or Master's degree in Finance, Engineering, CS, Data Analytics, or related field.
• Experience in Financial Services, Securities, or Banking Operations.
• Strong analytical skills and ability to interpret data.
• Hands-on Python experience (mandatory).
• Knowledge of VBA is an advantage.
• Interest in automation, AI-driven solutions; good stakeholder skills.

Responsabilidades

• Identify repetitive manual tasks across Securities & Prime Operations.
• Analyse operational data to find improvement opportunities.
• Develop automation solutions and simple prototypes using Python.
• Support automation of reporting activities and data collection.
• Translate business needs into functional specifications.
• Collaborate with Operations Managers to improve workflows.
• Contribute to AI-enabled initiatives to boost productivity.
• Monitor solutions and pursue continuous improvement.

Conhecimentos

Python

Analytical thinking

Stakeholder management

Formação académica

Bachelor's or Master's degree in Finance/Engineering/CS/Data Analytics or related field

Ferramentas

VBA (Visual Basic for Applications)

Descrição da oferta de emprego

AXCO is seeking a Data Analytics & Automation Specialist to support Securities & Prime Operations in a dynamic international financial services environment, focusing on process optimisation, automation, and AI-driven initiatives.

The role involves identifying pain points, analysing operational data, developing Python-based prototypes, automating reporting and data collection, and translating business needs into concrete specifications for successful, measurable improvements.