
501 - 1000 employees
Founded 2011
💳 Fintech
💸 Finance
🤝 B2B
Fintech • Finance • B2B
EXANTE is a global prime broker and fintech firm founded in 2011 that provides direct access to over 2 million financial instruments across 50+ markets through a proprietary, customizable trading platform (desktop, web, mobile) with API and white-label options. It serves institutional and professional clients — banks, brokerages, asset managers, family offices, and professional traders — offering trade execution, custody arrangements, regulatory coverage, and dedicated relationship and post-trade support.
🕒 April 21
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501 - 1000 employees
Founded 2011
💳 Fintech
💸 Finance
🤝 B2B
Fintech • Finance • B2B
EXANTE is a global prime broker and fintech firm founded in 2011 that provides direct access to over 2 million financial instruments across 50+ markets through a proprietary, customizable trading platform (desktop, web, mobile) with API and white-label options. It serves institutional and professional clients — banks, brokerages, asset managers, family offices, and professional traders — offering trade execution, custody arrangements, regulatory coverage, and dedicated relationship and post-trade support.
• Define how data is understood, accessed, and used by AI systems across the company. • Build clean, reusable analytical data layers in BigQuery. • Move business logic from BI into the warehouse. • Define metrics, dimensions, and semantic consistency. • Enable reliable AI ↔ data interaction. • Design schemas + instructions so AI produces correct outputs. • Test and refine real AI usage (not theory). • Implement data-layer access control (not BI-layer). • Ensure consistent behavior across BI, AI, and internal tools. • Ensure metric reconciliation across different data sources. • Prevent sensitive data leakage and uncontrolled query cost. • Replace manual data workflows with AI-driven processes. • Build agents for reporting, validation, and internal analytics.
• Strong SQL + data modeling (BigQuery or similar) • Experience building scalable data layers (not just pipelines) • Understanding of metrics, semantics, and analytical correctness • Hands-on exposure to LLMs / AI tools (practical, not theoretical) • Ability to design systems where data is consumed by machines. • Bonus experience: • dbt / semantic layers • BigQuery performance & cost optimization • Finance / brokerage data • Fine-grained access control implementations • AI agent / tool-based workflows
• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events
Apply Now🕒 August 26, 2025
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