Python Junior

Act Digital; Porto; Sur place; EUR 28 000 - 38 000; Plein temps

Résumé du poste

Act Digital in Porto, Portugal, is seeking a Junior Data & Risk Developer to help build data-driven applications for risk and finance. You will write Python code and SQL queries to support business needs.

Work with engineers and analysts to learn software engineering, DevOps, and financial risk concepts in a collaborative, learning-oriented environment. This entry-level role offers structured training, exposure to rating platforms, and opportunities to grow technical skills across data,

Qualifications

• Degree completed or in progress in Computer Science, Mathematics, Statistics or another quantitative field
• Solid foundational knowledge of Python 3; Data Extraction, Filtering, Joins, Data Manipulation
• Basic familiarity with Linux environments and command line usage
• Understanding of software development fundamentals; Knowledge of Git and version-control concepts
• Strong willingness to learn and evolve technically; Interest in data, analytics, and financial systems

Responsabilités

• Develop and maintain data-driven applications and processes.
• Contribute to the evolution of quantitative risk and rating platforms.
• Write efficient Python code and SQL queries to support business requirements.
• Learn modern software engineering and DevOps practices.
• Collaborate with experienced professionals in a finance and risk environment.

Connaissances

Python

SQL

Git

Linux

Formation

Computer Science / Mathematics / Statistics

Outils

Jenkins

Bitbucket

SonarQube

Description du poste

to join a team working on risk and data-driven solutions within a quantitative and financial environment. This is an excellent opportunity for a recent graduate or early-career professional who wants to develop a strong technical foundation while working on business-critical applications such as

rating engines, data processing solutions, and risk management systems. You will work alongside experienced engineers and analysts, gaining exposure to software engineering, data processing, DevOps practices, and financial risk concepts in a collaborative and learning-oriented environment. As a Junior Data & Risk Developer, you will: Develop and maintain data-driven applications and processes. Contribute to the evolution of quantitative risk and rating platforms. Write efficient Python code and SQL queries to support business requirements. Learn modern software engineering and DevOps practices. Collaborate with experienced professionals in a finance and risk environment. Build technical expertise across data, development, and automation.

Software Development

Develop and maintain software components using Python. Contribute to application enhancements and bug fixing activities. Write clean, maintainable, and well-documented code. Participate in code reviews and learn development best practices. Support the continuous improvement of existing solutions.

Data Processing & SQL

Develop and optimize SQL queries for data extraction and analysis. Support data validation, transformation, and management activities. Work with structured datasets to support risk and business processes. Ensure the accuracy and consistency of data used by applications. Work with source control systems and collaborative development workflows. Contribute to CI/CD and software delivery processes. Learn and use tools such as: Jenkins Bitbucket SonarQube Support testing and deployment activities. Participate in engineering initiatives focused on automation and quality.

Platform Support & Improvements

Assist in troubleshooting application and data-related issues. Support production and non-production environments when required. Contribute to monitoring and continuous improvement activities. Work closely with senior team members to improve platform reliability and performance.

Financial & Risk Solutions

Gain exposure to quantitative risk and rating engine environments. Understand how data and software solutions support financial decision-making. Collaborate with business and technical teams to deliver reliable solutions. Build knowledge of risk management and financial systems over time.

What We're Looking For

Mandatory Requirements

Degree completed or in progress in: Computer Science Mathematics Statistics Or another quantitative field Solid foundational knowledge of

Python 3 Data Extraction Filtering Joins Data Manipulation Basic familiarity with Linux environments and command line usage. Understanding of software development fundamentals. Knowledge of Git and version-control concepts. Strong willingness to learn and evolve technically. Interest in data, analytics, and financial systems.

Programming

Python 3 Scripting Problem Solving Data & Databases

SQL Data Manipulation Data Analysis Relational Databases Operating Systems

Command Line Software Engineering

Git Version Control Software Development Fundamentals Code Quality Practices DevOps & Delivery

Exposure or willingness to learn:

Jenkins Bitbucket SonarQube Automated Testing Nice to Have

Academic, personal, or internship projects developed with Python. Experience with data analysis or quantitative projects. Exposure to DevOps tools and automation practices. Understanding of financial, banking, or risk-related concepts. Knowledge of software development lifecycle methodologies. Experience collaborating in technical projects or university group work.

Learning Mindset

Strong curiosity and eagerness to learn. Interest in developing expertise within a quantitative and financial domain. Openness to feedback and continuous improvement.

Analytical Thinking

Good problem-solving abilities. Logical and structured mindset. Ability to understand and work with data-driven processes. Team-oriented attitude. Ability to work with both technical and business stakeholders.

Ownership

Proactive approach to learning and contributing. Attention to detail and commitment to quality. Willingness to take responsibility and develop autonomy over time.