Multi-asset trading platform serving retail investors across emerging markets
Exinity operates a leveraged trading and investing platform with ~2M customers across global brands, anchored in London, Cyprus, and the UAE. The tech stack reveals a data-intensive operation: BigQuery, Databricks, Kafka, and ClickHouse for analytics and real-time streaming, paired with low-latency microservices (gRPC, Go, C++) for trade execution. Active projects signal concurrent pushes into ML ops, workflow orchestration, and regional expansion (Vietnam), while pain points cluster around data governance, pipeline scaling, and client onboarding—typical friction for fintech platforms scaling from two million to the next inflection.
Exinity is a 25-year-old fintech operator providing leveraged trading and investing products to retail customers, predominantly in emerging markets. The company markets through multiple brands including FXTM and Nemo, offering CFDs, stocks, bonds, ETFs, and mobile trading across iOS and Android. With offices in London, Cyprus, the UAE, and Vietnam, plus a headcount of 501–1,000, Exinity operates as a privately held business serving what it describes as a generation seeking financial independence through market access. The platform architecture spans both client-facing (mobile apps, onboarding flows) and backend infrastructure (real-time data pipelines, risk management systems).
Core: BigQuery, Databricks, Kafka for data and streaming. Trade execution: low-latency microservices in Go and C++ with gRPC. Supporting: dbt, Prefect, RudderStack, Python, SQL, Kubernetes, Redis, MongoDB, ClickHouse.
Headquartered in London. Active hiring across UK, Cyprus, UAE, Vietnam, Armenia, and China—reflecting regional expansion strategy.
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