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Самостоятельная роль в AI-финтех продукте с понятными аналитическими задачами выглядит привлекательно, но без конкретной зарплаты и с противоречиями по Дубаю и Барселоне остаются важные практические вопросы.
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Путаница с локациейНет точной зарплатыСовременные технологииЗона ответственностиAI в финтехеМного самостоятельности
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Текст:
Hirify AI/Оригинал
TL;DR
Product Data Analyst (Fintech): Building reliable metrics, data models, dashboards, invoicing pipelines, and experiments for an AI-powered debt-collection platform with an accent on KPI ownership, transaction analytics, and data quality. Focus on automating billing across currencies, measuring recovery-rate lift, and tracing anomalous numbers to their source.
Location: Dubai, United Arab Emirates; hybrid with 3 days per week at the office
Company
hirify.global develops voice and omnichannel AI agents for banks, initially focused on debt collection and recovery optimization.
What you will do
Define and maintain the KPIs used across the business.
Build data models and dashboards from call, debt, and payment data.
Automate bank invoicing and billing across currencies.
Design and analyze experiments to measure genuine improvements in recovery rates.
Investigate anomalous metrics, identify root causes, and resolve data-quality issues.
Requirements
Strong analytical and quantitative skills with experience building business-critical metrics and models.
Fluency in SQL and Python.
Ownership of analytical outcomes and ability to connect analysis to business decisions.
STEM degree and exceptional academic performance.
Strong interest in using AI for automation while maintaining rigorous quality control.
Ability to work in a hybrid setup from the Dubai office three days per week.
Nice to have
Collections or fintech experience is not required; the domain can be learned on the job.
Culture & Benefits
Hybrid and flexible working arrangement.
High autonomy and direct collaboration with the founders.
Significant ownership of the company’s metrics and analytical standards.
Competitive benchmark-level salary and equity with substantial upside potential.
Small team with the opportunity to make a significant impact.
Hiring process
Introductory interview with a future teammate.
Technical deep-dive interview with the hiring manager and potentially another team member.
Technical assessment or business case, followed by coffee with the founders and hiring manager at the Barcelona office.
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