Fintech Analyst

Glovo Group; Vilanova y Geltrú; On-site; EUR 50,000 - 70,000; Full time

Job summary

Glovo Group is seeking a fraud risk specialist to identify opportunities to reduce losses and improve profitability by leveraging ML and advanced risk rules. You will design, roll out, and measure fraud prevention strategies while collaborating with Product, Engineering, and Data Science teams.

You will analyze risk using SQL and Python, contribute to ML workflows, and maintain escalation processes with regional alignment.

Responsibilities

• Identify opportunities to reduce fraud losses on different streams and improve profitability by leveraging advanced risk rules and Machine Learning.
• Implement end-to-end fraud prevention strategies—design controls, execute rollouts, measure impact, and iterate for continuous improvement.
• Support the evaluation of fraud prevention controls by assisting in setup, monitoring, and performance analysis of A/B tests.
• Collaborate with stakeholders like Product, Engineering, Data Science to propose innovative and preventive fraud controls.
• Perform risk analysis using SQL, Python and analytics platforms (Looker, BigQuery) to identify fraud patterns and monitor metrics.
• Contribute to machine learning workflows by partnering with Data Science: define features, validate model outputs, and flag drift.
• Maintain and optimize a centralized escalation process for suspected fraud with local teams to adapt risk controls regionally.
• Develop and maintain executive dashboards in Looker to track fraud OKRs, financial exposure, and compliance metrics.
• Drive clarity on complex fraud topics using data-driven approaches for all audiences.

Job description

Job Ref ID:JR0084509

Be a part of a team where you will:

• Identify opportunities to reduce fraud losses on different streams and improve overall profitability by leveraging advanced risk rules and Machine Learning.

• Implement end-to-end fraud prevention strategies—design controls, execute rollouts, measure impact, and iterate for continuous improvement.

• Support the evaluation of fraud prevention controls by assisting in the setup, monitoring, and performance analysis of A/B tests.

• Collaborate with stakeholders like Product, Engineering, Data Science to propose innovative and preventive fraud controls.

• Perform risk analysis using SQL, Python and analytics platforms (e.g. Looker, BigQuery) to identify emerging fraud patterns and monitor key metrics.

• Contribute to machine learning workflows by partnering with Data Science: define relevant features, validate model outputs, and flag performance drift.

• Maintain and optimize a centralized escalation process for suspected fraud, ensuring timely reviews, feedback loops, and alignment with local teams to adapt risk controls regionally.

• Develop and maintain executive dashboards in Looker to track fraud OKRs, financial exposure, and compliance metrics.

• Drive clarity and resolve ambiguity on complex fraud topics, using data-driven approaches, simplifying concepts for different audiences (local ops, senior leadership, or external partners).