Technical Product Analyst (AI Fraud Intelligence)

Location: Warsaw, Poland; hybrid with at least 3 days in the office required

Estimated salary range: PLN 157,500–258,675, potentially including sales incentive payments; bonus and equity may also apply.

Company

hirify.global develops global payments technology connecting consumers, merchants, financial institutions, and governments across more than 200 countries and territories.

What you will do

• Support product strategy and execution for AI-enabled predictive fraud intelligence in real-time push payment use cases.
• Define requirements for fraud and scam detection models, risk scores, data signals, decisioning capabilities, dashboards, and client-facing features.
• Partner with data science, data engineering, software engineering, platform, and infrastructure teams to design, deploy, and improve fraud detection capabilities.
• Support detection capabilities for scams, mule activity, account takeover, suspicious beneficiaries, behavioural anomalies, and other high-risk payment scenarios across hirify.global and non-hirify.global flows.
• Define and monitor metrics including fraud detection uplift, false positives, model performance, client adoption, transaction coverage, and commercial impact.
• Support pilots, demos, training, launches, regional activation, and collaboration with commercial, risk, legal, compliance, and client-facing teams while promoting responsible AI, privacy, security, resilience, explainability, and governance.

Requirements

• Relevant work experience and a Bachelor's degree.
• Experience defining and documenting functional, nonfunctional, and technical requirements for products or services.
• Experience using project management tools to plan, execute, and monitor projects.
• Experience with AI, machine learning, predictive analytics, fraud scoring, behavioural analytics, anomaly detection, graph analytics, or transaction monitoring products.
• Understanding of real-time payments, push payments, digital payments, account-to-account transfers, card payments, or payment network ecosystems.
• Cross-functional experience with data science, data engineering, software engineering, platform, infrastructure, or analytics teams.
• Experience supporting the development and delivery of small-size product features.
• Written and verbal communication skills with technical and non-technical stakeholders.

Nice to have

• Independent requirements writing for small-size features over a measurable period, including responding to engineering inquiries and using customer feedback or market data to prioritize functionality.
• Experience contributing to metric collection and quality assurance, product messaging, and feature-status communication.
• Familiarity with fraud and scam risks in real-time payments, including authorized push payment fraud, mule networks, account takeover, social engineering, suspicious beneficiaries, and unusual transaction behaviour.
• Understanding of model performance and monitoring concepts, including precision, recall, false positives, false negatives, thresholds, features, model drift, explainability, and feedback loops.
• Experience with real-time decisioning, API-based products, high-volume transaction environments, or scalable data platforms.
• Experience supporting market launches, pilots, client demos, product training, or regional enablement.

Culture & Benefits

• Hybrid work arrangement with at least 3 office days per week, confirmed by the Hiring Manager.
• Benefits may include medical, dental, and vision coverage, pension, life insurance, annual leave, and a wellness program.
• Digital fluency and use of emerging technologies such as Claude, ChatGPT, Microsoft Copilot, or similar tools are expected.
• hirify.global supports responsible AI use and consideration of privacy, security, resilience, explainability, and governance.
• hirify.global provides equal employment opportunities and accommodations during the selection process.