Data Scientist - Financial Crime Analytics & Impact

novobanco; Porto; Híbrido; EUR 35 000 - 55 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary

Benefits package

Collaborative environment

Resumo da oferta

Novobanco in Porto is seeking a Data Scientist to join the Onboarding & Economic Crime Prevention team. You will identify, analyze, and model data to inform decisions across customer lifecycle, KYC, and risk controls.

You will partner with stakeholders to translate business challenges into analytical opportunities, own analytical modules, and develop insights, reporting, and detection models using Python or R and SQL.

Qualificações

• 2-5 years of data science, analytics, or data-driven risk management experience.
• Strong analytical skills with experience working with large and complex datasets.
• Proficiency in programming languages such as Python or R.
• Proficiency in SQL.
• Understanding descriptive analysis, correlations, hypothesis testing, and segmentation.
• Ability to communicate insights effectively to both technical and non-technical audiences.

Responsabilidades

• Identify, capture, and analyse data to support business decisions and financial crime risk management.
• Lead data-driven initiatives across onboarding, KYC, and economic crime domains.
• Develop insights, reporting, and analytical solutions to enhance operational and compliance effectiveness, and customer outcomes.
• Partner with stakeholders to translate business challenges into analytical opportunities.
• Own and continuously enhance the department’s financial crime analytical module, including rules, scenario analysis, and detection models.

Conhecimentos

Data science

Analytics

Risk management

Ferramentas

SQL

Python

R

Microsoft Fabric

Descrição da oferta de emprego

Novobanco in Porto is seeking a Data Scientist to join the Onboarding & Economic Crime Prevention team. You will identify, analyze, and model data to inform decisions across customer lifecycle, KYC, and risk controls.

You will partner with stakeholders to translate business challenges into analytical opportunities, own analytical modules, and develop insights, reporting, and detection models using Python or R and SQL.