Senior Risk Data Analyst - Fincrime & Fraud Monitoring Porto

Senior Risk Data Analyst - Fincrime & Fraud Monitoring
Porto
Porto, Porto District, Portugal

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Client:

Teya

Location:

Porto, Portugal

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

85298212b9d8

Job Views:

3

Posted:

02. 05. 2025

Expiry Date:

16. 06. 2025

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Job Description:

The Customer Risk Monitoring team is responsible for implementing and maintaining analytical systems that protect Teya and its customers from financial risks such as fraud, money laundering, and terrorism financing. Our goal is to minimize financial losses and risk exposure, support customer trust, and ensure regulatory compliance.

We collaborate with Operations, Compliance, Risk, Platform Engineering, and product teams to investigate suspicious activities and improve our detection systems.

The role

As a Data Analyst, you will:

• Develop and refine risk detection intelligence to reduce false positives and customer friction
• Provide insights to improve detection rates and uncover new risk patterns
• Collaborate with
  - functional teams to prioritize analytical initiatives
• Identify opportunities to automate monitoring and escalate threats
• Create dashboards and reports to monitor metrics and trends
• Work with data engineering to maintain scalable data models and ETLs
• Define and analyze fraud and AML KPIs for strategic planning
• Promote
  - driven
  - making across the organization

Qualifications

We seek a Senior Data Analyst with a strong analytical background and passion for solving complex problems in financial risk.

Must-haves

• 4+ years of experience in data analysis, preferably in fraud, AML, or risk monitoring
• Strong understanding of statistical methods like forecasting, A/B testing, regression analysis
• Proven ability to generate insights leading to measurable improvements
• Advanced SQL skills and experience with large datasets
• Experience designing and maintaining ETL pipelines or data models
• Proficiency in Python for data analysis and visualization
• Excellent communication skills for translating data into actionable insights
• Experience working with
  - functional teams
• Self-motivated and capable of managing ambiguity

Nice-to-haves

• Experience in payments or acquiring services
• Degree in Mathematics, Statistics, Computer Science, Economics
• Experience with AML tuning, fraud rule optimization, or detection design
• Knowledge of regulatory or compliance analytics
• Certifications like CAMS, ICA, or similar

Additional Information

The Perks

• Flexible working hours
• Health Insurance
• Meal Allowance
• 25 days of annual leave plus bank holidays
• Public Transportation Card
• Team events and activities
• Office snacks daily
• Informal office environment