Data Scientist | Financial Crime Prevention @ING Bank

at ING
📍 Bucharest, Romania
EUR 20,000-40,000 per year
MIDDLE
✅ Hybrid
✅ Visa Sponsorship

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

DevOps @ 3 Python @ 3 SQL @ 3 Statistics @ 3 Algorithms @ 3 Machine Learning @ 3 Azure @ 3 Communication @ 3 Mathematics @ 3 Prioritization @ 3 KYC @ 3 Due Diligence @ 3 AML @ 3 Azure DevOps @ 3 Oracle @ 3 Compliance @ 3

Details

ING believes in a world where everyone has the right to grow and progress in their own way. Their global tagline, “do your thing,” highlights the power of autonomy for their people. They expect people to do great things for customers, stakeholders, and ING.

The working environment is energetic, ambitious, friendly, and respectful, with talented specialists who take responsibility and autonomy to make great things happen. ING Bank Romania has been active for over 30 years, pioneering and challenging the local banking industry. Technology and innovation are central to their products, which serve more than 1.8 million customers across retail, SME, mid-corporate, and wholesale banking segments.

Mission

The Financial Crime and Prevention (FCP) organization in ING Bank Romania designs, builds, and runs technical and operational solutions to ensure safe and secure business operations, combating money laundering and preventing the financing of terrorism. The Data Scientist role is part of the KYC CoE team within FCP, focused on supporting the design and adoption of complex algorithms and models for data actualization, customer due diligence, and transaction monitoring workflows.

Responsibilities

  • Create basic machine learning algorithms and support development of complex algorithms identifying patterns in structured data.
  • Interpret advanced and predictive analytics data using specialized software tools.
  • Conduct research and analyze key themes and trends using primary data sources and business intelligence tools.
  • Monitor model performance, interpret results, and propose optimization solutions.
  • Ensure model documentation and compliance with governance and methodologies, maintaining data integrity per AML/CFT policies.
  • Collaborate with business stakeholders and internal clients to ensure data collection standards.
  • Participate in global projects aligned with bank strategic priorities.

Requirements

  • University degree in Mathematics, Statistics, or Cybernetics.
  • Fluent in English (written and verbal).
  • Experience in model development or validation.
  • Tools: Python, SAS, Microsoft/Oracle SQL, Microsoft Package, Azure DevOps.
  • Understanding of banking market developments and AML/CFT regulations.
  • Ability to handle new challenges with urgency, energy, and enthusiasm.
  • Strong problem-solving skills and ability to comprehend complex information.
  • Effective planning and prioritization aligned with organizational goals.
  • Excellent communication skills to gain support from others.
  • Emotional intelligence.

Benefits

  • Impactful work in a fun, collaborative environment.
  • Open-concept offices supporting teamwork and relaxation.
  • Corporate events and social gatherings.
  • Hybrid working model with flexible schedules and short week options.
  • Monthly benefits budget.
  • Extra annual leave based on total work experience.
  • Growth opportunities via upskilling/reskilling programs and various learning platforms (ING Learning Centre, Udemy, Bookster), plus trainings and certifications.
  • Access to internal roles and international short- or long-term assignments.
  • Opportunities to contribute to sustainability and corporate social responsibility projects.