Real-Time Fraud Analytics Analyst (Lisbon Hybrid)

Riskified; Lisboa; Híbrido; EUR 37 000 - 42 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work

Flexible schedule

Healthcare benefits

Stocked kitchens

Monthly benefits

Wellness program

Team events

Happy hours

Gifts and swags

Volunteer programs

Personal development

Global onboarding

Udemy access

Resumo da oferta

Riskified is seeking a Data Analyst to work with enterprise customers, focusing on risk analytics and real-time fraud prevention. You will research fraud trends, analyze data, and provide actionable insights to merchants while collaborating with cross-functional teams in a hybrid Lisbon-based role.

You will use SQL, R, and Python to explore data, communicate findings to both technical and non-technical stakeholders, and help shape fraud-prevention strategies.

Qualificações

• 2-3+ years of analytical experience with complex data.
• 2+ years of hands-on SQL experience.
• Experience with R and Python for data analysis.
• Excellent problem-solving and multitasking abilities.
• Strong English, written and verbal, with client-facing experience.

Responsabilidades

• Research and analyze data using SQL in a high-level environment.
• Communicate analytical insights to technical and non-technical audiences.
• Collaborate with cross-functional teams to optimize processes.
• Interface with clients via account managers and deliver insights.
• Define and implement end-to-end fraud-prevention solutions.
• Develop expertise in online fraud prevention through live data analysis.

Conhecimentos

SQL

R

Python

Analytical thinking

Communication

Client-facing

Leadership

Fraud/ecommerce knowledge

Descrição da oferta de emprego

Riskified is seeking a Data Analyst to work with enterprise customers, focusing on risk analytics and real-time fraud prevention. You will research fraud trends, analyze data, and provide actionable insights to merchants while collaborating with cross-functional teams in a hybrid Lisbon-based role.

You will use SQL, R, and Python to explore data, communicate findings to both technical and non-technical stakeholders, and help shape fraud-prevention strategies.