Python Junior

📍 Hybrid | Banking & Risk Environment

🚀 About the Role

We are looking for a Junior Data & Risk Developer 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.

🎯 Your Mission

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.

💼 Key Responsibilities

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.

DevOps & Engineering Practices

• 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
• Engineering
• Statistics
• Or another quantitative field
• Solid foundational knowledge of Python 3 .
• Good SQL skills, including:
• 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.

🛠 Technical Skills

Programming

• Python 3
• Scripting
• Problem Solving

Data & Databases

• SQL
• Data Manipulation
• Data Analysis
• Relational Databases

Operating Systems

• Linux
• Command Line

Software Engineering

• Git
• Version Control
• Software Development Fundamentals
• Code Quality Practices

DevOps & Delivery

Exposure or willingness to learn:

• Jenkins
• Bitbucket
• SonarQube
• CI/CD Pipelines
• 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.

🤝 Soft Skills

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.

Collaboration

• Team-oriented attitude.
• Good communication skills.
• 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.