Data Scientist, Fintech ML & Risk Analytics

Kroo Bank Ltd; City of Westminster; Hybrid; GBP 70.000 - 110.000; Vollzeit

Zusammenfassung

Kroo Bank is seeking a Data Scientist to build, evaluate, and deploy data science solutions across risk, fraud, engagement, and operations. You will partner with Product, Risk, Operations, Compliance, and Engineering to drive insights and improvements.

You will work on experiments, feature engineering, and production deployments, ensuring robust pipelines, governance, and clear stakeholder reporting. This hybrid London role emphasizes practical impact and collaboration.

Qualifikationen

• Experience building and evaluating statistical and machine learning models in a commercial environment.
• Strong analytical and problem solving skills with the ability to translate business challenges into practical data science solutions.
• Ability to perform data cleaning effectively by independently applying robust cleaning approaches, proactively identifying data quality issues, and contributing to improving data reliability and standards.

Aufgaben

• Build and iterate on statistical and machine learning models to solve business problems across areas such as credit risk, fraud, customer engagement, and operational efficiency.
• Partner with stakeholders to define problem statements, success metrics, data requirements, and practical implementation plans.
• Conduct data exploration and feature engineering to uncover drivers of outcomes and improve model performance and interpretability.
• Develop robust evaluation frameworks, including appropriate baselines, validation strategies, monitoring metrics, and model performance reporting.
• Support deployment of models into production in collaboration with Engineering, contributing to reproducible pipelines and model documentation.
• Monitor models in production, identify performance drift, propose improvements, and support ongoing recalibration or retraining where required.
• Apply probability and statistical inference to design experiments, interpret results, and provide clear recommendations to stakeholders.
• Contribute to high quality data practices by identifying data quality issues, supporting cleaning and normalisation approaches, and defining standards for reliable datasets.
• Write maintainable, well tested Python code using common data science libraries, and follow engineering best practices appropriate for production systems.
• Use SQL and dbt to extract, transform, and validate data for analysis and modelling, ensuring traceability and reliability of outputs.
• Collaborate with Risk, Compliance, and Audit stakeholders to ensure data science work is appropriately governed, documented, and aligned with regulatory expectations.
• Support continuous improvement across data science methodologies, tooling, and ways of working.

Kenntnisse

Statistical modeling

Machine learning

Python programming

SQL & dbt

Data visualization

Data cleaning

Problem solving

Stakeholder communication

Tools

Python

SQL

dbt

Git

Jobbeschreibung

Kroo Bank is seeking a Data Scientist to build, evaluate, and deploy data science solutions across risk, fraud, engagement, and operations. You will partner with Product, Risk, Operations, Compliance, and Engineering to drive insights and improvements.

You will work on experiments, feature engineering, and production deployments, ensuring robust pipelines, governance, and clear stakeholder reporting. This hybrid London role emphasizes practical impact and collaboration.