Risk Data Scientist | Hybrid

Inoweiser | Tech For a Better Future

Inoweiser — Tech for a Better Future — is a technology group with over 20 years of experience, focused on empowering our clients to tackle complex challenges through innovative solutions.

We are strengthening our team with a Senior Risk Data Scientist profile for a challenging technology project in the financial sector, focused on the development, training and validation of predictive credit risk models.

Key responsibilities

• Develop, calibrate and validate statistical and Machine Learning models applied to credit risk, including Credit Scoring, Behavioral Scoring and Rating models;
• Extract, process and analyze large volumes of data to identify risk patterns and support predictive modeling;
• Design and implement scalable, efficient and modular Python code throughout the entire model lifecycle, from data preparation and ETL to production;
• Perform quantitative analysis, assess model performance and ensure the robustness and reliability of predictive models;
• Identify and handle data quality issues, including missing values, outliers and inconsistencies;
• Explore and implement advanced algorithms, libraries and methodologies to improve model accuracy and efficiency;
• Document modeling assumptions, technical decisions and analytical results;
• Ensure high standards of code quality, technical accuracy and model performance.

What we're looking for

• Minimum of 5 years of professional experience in Data Science, Predictive Modeling or related quantitative fields;
• Proven experience in developing Credit Scoring, Behavioral Scoring, Rating or Credit Risk models;
• Advanced proficiency in Python, including hands-on experience with Pandas, NumPy, Scikit-Learn, SciPy, Statsmodels, XGBoost and/or LightGBM;
• Strong knowledge of SQL for data extraction, manipulation and analysis;
• Solid understanding of statistical modeling, Machine Learning algorithms and predictive analytics;
• Experience working with large datasets, data preprocessing, feature engineering and model validation;
• Bachelor's or Master's degree in Mathematics, Statistics, Data Science, Physics, Engineering or a related quantitative field;
• Strong analytical and problem-solving skills, with attention to detail and technical accuracy;
• Ability to explain complex analytical concepts, modeling assumptions and technical results clearly;
• High level of autonomy, ownership and accountability, with a results-oriented mindset.

What we offer

• Work regime: Hybrid;
• Comprehensive health insurance;
• Meal allowance card of €10.20/day;
• Health and wellness promotion policy through ClubIn;
• Exclusive access to the Inoweiser Nautical Club;
• Participation in the Wine Club and team building activities;
• Protocols and discounts in health, wellness, sports, retail and dining;
• Involvement in social and environmental initiatives.

Join the Inoweiser Experience!

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