Data and Analytics

Data and Analytics

Senior Payment Fraud Decisioning Data Analyst — Hybrid, Stockholm, Sweden; Lisbon, Portugal

Measure and optimize fraud detection performance for digital payment transaction flows.

Vacancy details

This is a private vacancy. Company details stay confidential until InVault confirms a serious candidate fit.

Status
Active
Date posted
2026-11-15
Open until
2027-02-13
Employment type
Full-time
Source-listed languages
Not specified
Language requirement
No mandatory language inferred
Work arrangement
Hybrid
Physical workplaces
Stockholm, Sweden; Lisbon, Portugal
Applicant eligibility
Applicant geography not specified

Overview

Analyze risk and customer-impact metrics across payment fraud controls. Build robust datasets and reporting to evaluate detection models, identify decisioning gaps, and coordinate evidence-based changes with risk operations and product teams.

Requirements

  • Experience analyzing fraud, financial risk or transactional datasets.
  • Strong SQL and data analytics skills.
  • Understanding of fraud detection rules and decisioning performance.
  • Ability to evaluate detection tradeoffs and customer outcomes.
  • Strong stakeholder communication and reproducible analysis.

Responsibilities

  • Build fraud performance reports and decisioning metrics.
  • Analyze false positives, losses and emerging attack patterns.
  • Evaluate detection experiments and rule changes.
  • Support risk model calibration with product and operations.
  • Document analysis and communicate recommended improvements.

Conditions

  • Full-time hybrid role based in Stockholm, Sweden or Lisbon, Portugal.