Who we are
About CloudLogic
Capital markets and fintech engineering consultancy. We deliver cloud modernization, trading systems, data platforms, and fractional CTO for HSBC, Credit Suisse, Deutsche Bank, UBS, and NatWest Markets.
cloudlogic.dev is a product and engineering consultancy built for modern finance. We partner with capital markets, payments, and fintech teams to modernise critical platforms, move faster in the cloud, and ship AI-enabled experiences that are safe, secure, and auditable.
Our clients are engineering, product, and risk leaders at institutions that cannot afford downtime, regulatory failure, or security breaches. They choose us because we bring practitioner experience — our engineers have built and operated these systems at HSBC, Credit Suisse, Deutsche Bank, UBS, and NatWest Markets under real production pressure.
What we do
We deliver engineering for financial services across four core practices:
- Cloud & Infrastructure Modernization: Migrate from on-premise monoliths to governed cloud environments on GCP or AWS. Landing zones, policy-as-code, Kubernetes, and FinOps — proven at tier-one banks.
- Trading & Market Systems: Low-latency order management, FIX protocol connectivity, market data pipelines, and real-time risk engines. Not consulting theory — we have built these systems in production.
- Financial Data Platforms: High-throughput data infrastructure for market data ingestion, regulatory reporting, and machine learning. Apache Beam, Dataflow, BigQuery, Vertex AI — deployed at tier-one banks.
- Fractional CTO Advisory: Senior technical leadership for fintechs scaling from MVP to production. Architecture roadmaps, investor due diligence, compliance strategy, and team building.
Track record
- Cloud landing zone for a tier-one bank — first regulated workloads live in 6 months, 52% faster infrastructure deployment
- Global ML platform for financial crime detection — 25% faster model training, 20% lower infrastructure cost
- Real-time risk analytics modernisation — VaR windows cut from 3 hours to 14 minutes using Apache Beam and Dataflow
- Greenfield liquidity matching engine — 100% cash reconciliation in near real-time, replacing end-of-day batches
- Quant hedge fund platform — strategy backtesting reduced from 8 hours to 20 minutes
Read the full case studies on our projects page.
Tools we use
- Data platforms / ML / AI: Apache Iceberg, DuckDB, Apache Beam, dlt, dbt, SQLMesh, vLLM, llama.cpp
How we engage
Every engagement starts with a working session, not a PowerPoint deck:
- Strategy intensives (2-4 weeks): Align leadership around target-state architecture, cloud adoption roadmap, and AI governance framework.
- Delivery pods (ongoing): Embedded engineering teams that bring platform, data, and ML expertise directly into your priority initiatives.
- Fractional CTO (part-time): Executive-level technology direction for Series A/B fintechs without the full-time hire cost.
- Capability uplift: Playbooks, coaching, and joint delivery that accelerate your teams long after we rotate out.
Experience you can verify
We have supported global institutions including HSBC, Credit Suisse, Deutsche Bank, UBS, and NatWest Markets, alongside fast-growing fintechs and digital-native startups. Our work has been reviewed by the FCA for operational resilience compliance, by external auditors for SOC 2 and PCI-DSS readiness, and by Series A/B investors during technical due diligence.
Let’s talk
If you are navigating cloud transformation, trading platform modernisation, or AI adoption under regulatory pressure, we can help you move with confidence.