Data Scientist

ABOUT FORFIRM

FORFIRM delivers innovative, tailored solutions to real business challenges by combining deep industry expertise with a flexible, knowledge-driven approach. We are proud to be a company with no predefined barriers or rigid frameworks: we listen, we understand, and we build solutions that truly meet our clients' needs. Our culture is based on meritocracy, openness, and personal initiative - a place where everyone can shape their role and contribute meaningfully.

ABOUT THE ROLE

We are seeking an experienced Data Scientist to join our international team and contribute to high-impact analytical projects for Swiss banking clients. The ideal candidate brings strong quantitative skills and hands-on experience applying machine learning techniques within financial services, working across risk, compliance, and business functions to turn complex data into actionable insights.

KEY RESPONSIBILITIES

Data Engineering & Pipeline Development

• Design and maintain robust data pipelines using Python, covering preprocessing, feature engineering, and model-ready dataset preparation
• Extract, transform, and model banking data through advanced SQL queries on relational database environments such as Oracle and SQL Server
• Ensure data quality and consistency across large and complex datasets through structured wrangling and aggregation techniques

Machine Learning & Modelling

• Translate business and risk-related challenges into well-defined analytical problems and quantitative models
• Build, validate, and continuously refine machine learning models addressing use cases such as credit risk assessment, fraud detection, customer segmentation, and portfolio optimisation

Stakeholder Collaboration

• Partner with Risk Management, Compliance, and Business teams to interpret analytical outputs and support data-driven decision making
• Communicate findings and model outcomes clearly to both technical and non-technical audiences

WHAT ARE WE LOOKING FOR?

• Degree in Data Science, Statistics, Computer Science, Mathematics, or a related discipline
• Solid proficiency in Python for data science applications, including Pandas, NumPy, scikit-learn, and XGBoost
• Advanced SQL skills for complex joins, aggregations, and data wrangling on large relational datasets
• Proven experience applying machine learning in a banking or financial services context
• Ability to work effectively across cross-functional teams and manage multiple priorities
• Strong analytical mindset with attention to detail and a structured approach to problem-solving

PREFERRED SKILLS

• Experience with Power BI for the development of interactive dashboards and data visualisations
• Knowledge of DAX for calculated measures and reporting logic

WHAT WE OFFER

• Involvement in strategic, data-driven projects within leading Swiss banking institutions
• A performance-oriented environment that supports professional growth and continuous learning
• A collaborative team culture built on transparency, knowledge sharing, and initiative

FORFIRM is an equal opportunity employer that values diversity. All qualified applicants will be considered without discrimination based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.