Technical Product Analyst

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NieokreśloneHybryda·WarszawaFull-time

#473709·Dodano wczoraj·0

Źródło: Visa

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Tech Stack / Keywords

AImachine learningpredictive analyticsfraud scoringbehavioural analyticsanomaly detectiongraph analyticstransaction monitoringreal-time paymentsAPI

Podsumowanie oferty

The Product Analyst will support the design, development, and delivery of predictive fraud and scam detection capabilities for real-time push payments, across Visa and non-Visa payment flows. The role works with AI data scientists, data engineers, platform teams, product leaders, regional teams, and client-facing stakeholders to define requirements and support the deployment of new AI/ML capabilities.

Wymagania

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.
Experience working cross-functionally with technology teams, including data science, data engineering, software engineering, platform, infrastructure, or analytics teams.
Experience supporting the development and delivery of small-size product features.
Experience communicating in writing and verbally with technical and non-technical stakeholders.

Preferred Qualifications:

Experience independently writing requirements for small-size features over a measurable period.
Experience responding to engineering inquiries and providing customer feedback or market data to prioritize functionality.
Experience contributing to the collection and quality assurance of identified metrics.
Experience supporting the creation of product messaging and communicating feature status to stakeholders.
Familiarity with fraud and scam risk 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.
Ability to work with emerging technologies such as Generative AI tools, including Claude, ChatGPT, or Microsoft Copilot, to support everyday work, improve productivity, and accelerate product development activities.

Obowiązki

Support product strategy and execution for AI-enabled predictive fraud intelligence capabilities across real-time push payment use cases.
Define small-scale product requirements for fraud and scam detection models, risk scores, data signals, decisioning capabilities, dashboards, and client-facing product features.
Partner with AI data scientists, data engineers, software engineers, platform teams, and infrastructure teams to design, build, deploy, and improve fraud detection capabilities.
Support development of capabilities for scam detection, mule activity, account takeover, suspicious beneficiary detection, behavioural anomalies, and other high-risk payment use cases.
Work across Visa and non-Visa payment flows to help ensure product capabilities are scalable across multiple rails, markets, clients, and integration models.
Define and monitor success metrics, including fraud detection uplift, false positive rates, model performance, client adoption, transaction coverage, and commercial impact.
Support pilots, client demos, product training, internal enablement, market activation, and launch readiness activities.
Collaborate with regional, commercial, risk, legal, compliance, and client-facing teams to ensure product capabilities meet market, client, and regulatory needs.
Promote responsible use of AI and emerging technologies while considering privacy, security, resilience, explainability, and governance.

Benefity

The position may be eligible for Medical, Dental, and Vision benefits.
The position may be eligible for a Pension, Life Insurance, Annual Leave, and a Wellness Program.
The position may be eligible for a bonus and equity.

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Udziały pracownicze

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