Data analyst - fraud intelligence team

Sobre a vaga

Join our Fraud Intelligence team at Riskified! As a Data Analyst on this team, you'll play a key role in helping us mitigate fraud and stay ahead of the fraudsters targeting our merchants. You'll research new and emerging fraud modus operandi, dive deep into transactional data, and help build and define the detection tools that power our fraud-prevention engine.

O que vais fazer

• Research and investigate new and evolving fraud modus operandi (MOs) across our merchant base
• Analyze large-scale transactional data using SQL (and R or Python) to uncover patterns, anomalies, and emerging fraud trends
• Collaborate with Data Science, Product, and Engineering to help build, define, and refine new fraud-detection tools
• Translate research findings into actionable insights that directly improve detection accuracy and merchant performance
• Monitor and evaluate the performance of existing detection logic, flagging gaps or drift as fraud patterns evolve
• Document investigation findings and methodologies, strengthening the team's shared knowledge base
• Work cross-functionally with Risk Operations and Account Management to respond quickly to new fraud threats

O que é pedido

• 2-3+ years of relevant strong analytical experience with complex data
• 2+ years of hands-on work experience with SQL (must be proficient)
• Proven expertise in analysis tools such as R and Python
• Experienced problem-solver with critical thinking skills
• Ability to work simultaneously on different tasks and lead multiple projects
• Full working proficiency (both written and verbal) in English
• Effective presentation skills, with a track record of client-facing experience
• This is a hybrid position based in Lisbon, working 2-3 days from the office weekly

Valorizado

• Advantage - experience in fraud, payments, or ecommerce domains

O que é oferecido

• The base salary range for this position is €37,000 - €42,000 gross annually for candidates based in Lisbon
• All full-time regular employees receive a bonus target and are eligible to receive stock-based awards
• Hybrid mode of work
• Flexible schedule
• Healthcare benefits
• Fully-stocked kitchens
• Benefits package per month—per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more
• Wellness program
• Celebrations and activities
• Team events
• Happy hours
• Awesome Riskified gifts and swags
• Volunteer programs
• Personal development
• Global onboarding
• Role-based technical skills training

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.

Investimento de tempo

Processo de entrevista

1. Screening call com o Representante de Recursos Humanos
2. Entrevista técnica com os Desenvolvedores (simulação de código, revisão do stack tecnológico)
3. Entrevista com o gestor de contratação (entrevista profissional de alto nível e introdutória)
4. Entrevista executiva (chefe de departamento) (entrevista introdutória)
5. Verificação de referências
6. Oferta O feedback será dado no prazo de uma semana.

Quanto paga este cargo

Este anúncio paga 67% acima da mediana

✸ Benefícios e vantagens (8)

• Apoio ao home-office
• Comida, fruta e bebida
• Dias extra
• Escolha sistema operativo / hardware
• Flex benefits
• Perto de transportes públicos
• Pet friendly
• Seguro de saúde

✸ Valores e cultura (9)

• Ambiente internacional
• Cultura de multi-função
• Feedback contínuo e 360º
• Híbrido
• Igualdade de género
• Incentivo à criatividade & inovação
• Membros impressionantes na equipa
• Metodologias ágeis
• Tecnologias de ponta