NL | Experienced Consultant Analytics & Modelling

Who we are

True North Partners LLP is an independent consulting firm with presence in Amsterdam, Dubai, Frankfurt, Johannesburg, Lisbon, London and Madrid, Singapore. We have extensive global experience and industry recognition in the financial services, risk management and finance communities.

True North Partners is uniquely distinct from the typical consultant firms due to the following:

• Being a boutique consulting firm focused on risk, finance and strategy, we deliver innovative concepts and methodologies based on specialist experience and analytical backgrounds

• Working across multifaceted competencies of risk, finance and strategy we overcome the traditional silo thinking and offer client-specific solutions as well as sustainable implementation development strategies

• Being people driven we allow members of all levels to actively participate in the running and development of our young firm

What we offer

Our company is built for and around its people. It is part of our culture for each member of the firm to take part in the running and development of True North Partners such as business development, marketing and management tasks. A sense of ownership for the firm is a central tenet to our overall behaviour. In particular, we offer:

• Challenging projects with leading financial institutions around the globe, where we are at the fore-front of innovation in products and methodologies

• A motivating, inspiring and team-oriented work environment with co-workers from a variety of hemispheres and backgrounds

• The opportunity to help shape a unique, professional environment with flat hierarchies and superior career opportunities

What we expect

We are looking for an entrepreneurial and dynamic consultant to strengthen our team:

• Strong analytical and quantitative background, with hands-on experience in model development or data-driven problem-solving.

• Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow) and SQL.

• Experience with PySpark and big data frameworks (e.g., Databricks, Hadoop) is a strong plus.

• Familiarity with other programming languages such as SAS or R is advantageous.

• Experience in AI / Generative AI, credit risk modelling, and/or data science.

• Understanding of machine learning algorithms, model evaluation, and data visualisation tools (Power BI, Tableau, matplotlib).

• Knowledge of credit risk concepts (e.g., PD/LGD modelling, stress testing, IFRS 9) and regulatory frameworks (e.g., BCBS 239, CRR/CRD, EBA Guidelines).

• Excellent communication and presentation skills, with the ability to explain complex analyses to non-technical audiences.

• Degree in a quantitative discipline (e.g., Mathematics, Statistics, Physics, Computer Science, Engineering, or Economics); PhD preferred.

• at least 2 years of relevant experience in AI, credit risk modelling, data science, or related analytical fields.

• Willingness to travel regularly for client work is essential.

Key responsibilities

• Design, develop, and implement AI, credit risk, and data science solutions for clients.

• Build and validate traditional, machine learning and Generative AI models for use cases such as credit scoring, risk forecasting, and automation.

• Conduct data analysis, feature engineering, and pipeline development to ensure data quality and scalability.

• Translate analytical results into actionable insights and communicate findings clearly to senior stakeholders.

• Collaborate closely with cross-functional teams across data, risk, and technology disciplines.