10+ years
with a top-tier investment bank
Engineering for investment banks
Engineering the next generation of capital markets. We help investment banks build AI-native delivery environments, connect with modern financial ecosystems, and scale low-latency distributed platforms that are secured by design.
15+ projects
delivered for fintech innovators (trading, BNPL, wealth)
Niche expertise
Java, Scala, distributed architectures, low-latency systems
AI-native
SDLC platform and tooling
Where Banks Need Engineering Partners in the AI Era
1. Scaling AI Delivery Without Losing Governance & Auditability
As investment banks move from experimenting with LLMs to deploying hundreds of AI agents across the software delivery lifecycle, they hit a strict governance wall. Unregulated AI coding creates context gaps, unverified code shifts, and compliance risks under frameworks like DORA or the EU AI Act. Banks need private, AI-native SDLC environments that provide deterministic verification, immutable data lineage, and risk-gated human oversight, ensuring developer output scales without compromising auditability.
2. High Technical Debt & Monolithic SDLC Bottlenecks
Decades of accumulated technical debt and massive monorepos have crippled developer velocity. Engineering teams face multi-day workspace setups, long CI/CD queues, flaky tests, and slow IDE indexing that stall release cycles. Modernizing these delivery pipelines requires enterprise-grade build acceleration (Bazel), standardized IDE configurations, and partial monorepo management to cut build and PR merge times dramatically.
3. Transitioning to Low-Latency, Real-Time Event Streaming
Legacy batch architectures and end-of-day processing cannot support modern demands for real-time risk, instant margin calculations, or digital asset settlement. Shifting to event-driven, microsecond-latency platforms capable of streaming millions of transactions per second requires a fundamental architectural overhaul. Banks must modernize core JVM frameworks (Java/Scala) and deploy resilient event streaming (Apache Kafka) without disrupting active core operations.
4. Navigating Interconnected Ecosystems & Tokenized Infrastructure
Investment banks are transitioning into platform players, requiring seamless connectivity with digital asset networks, Open Banking APIs, and specialized fintechs (WealthTech, BNPL, trading analytics). Orchestrating this complex web of third-party integrations and enterprise blockchain networks (such as the Canton Network) introduces security and operational stability risks. Banks need robust API platforms and secure integration layers that bridge traditional cores with the modern fintech ecosystem.
We Focus Where it Matters Most
AI-Native SDLC & Security
- Deploying VISDOM 2.0 for AI-native software delivery within private infrastructure.
- Orchestrating autonomous AI agents with end-to-end traceability and governance.
- Implementing DevSecOps and secure SDLC practices tailored for regulated environments.
- Accelerating builds and monorepo delivery loops.
Distributed & High-Throughput Systems
- Migrating from legacy batch processing to low-latency, event-driven platforms.
- Mastering real-time Apache Kafka and Confluent streaming to handle high-throughput workloads.
- Modernizing legacy Scala and Java architectures for long-term platform evolution.
- Designing modular architectures built to scale securely across global markets.
Ecosystems & Platform Modernization
- Building digital asset and tokenization infrastructure via the Canton Network.
- Designing scalable Open Banking API platforms and secure partner connectivity.
- Managing fintech integrations across Trading Platforms, WealthTech, BNPL, and Payments.
- Resolving complex external dependencies to bridge bank cores with modern fintech APIs.
How we work
We operate at the intersection of banking and fintech, strengthening internal teams with specialized engineering expertise.
Work alongside internal engineering teams
Focus on high-complexity, high-impact areas
Bring niche expertise and engineering excellence where it matters most
Deliver fast without compromising compliance
Recommend critical improvements
Take full ownership – we treat your product as ours
Why VirtusLab
Inside financial systems experience
10+ years working with a top-tier investment bank
We understand internal systems, constraints and scale
Fintech ecosystem exposure
Trading, WealthTech, BNPL, and payments
We know how modern financial platforms are built
Niche engineering expertise
Scala, distributed streaming architectures, low-latency systems, AI-native SDLC
We solve problems others can’t
Built for regulated environments
Compliance, traceability, and auditability by design
We deliver in environments where failure is not an option
See how we help top-tier global investment bank
1
Migrated the client’s system to Azure and replaced semi-manual deployment scripts with a fully automated, parallelized deployment pipeline
2
Implemented auto-scaling and temporary cloud resources
3
Built an end-to-end automated testing framework integrated with the private cloud
Moving top-tier investment bank infrastructure to the next level with cloud deployment
1
Developed and deployed a managed IntelliJ IDEA tool that automated workspace setup
2
Optimized IDE and build performance by introducing partial monorepo imports, cached commits, and streamlined code verification processes
3
Doubled monthly merged pull requests and cut setup time by 90%
Reducing pull request merging times by 43% with a managed IDE tool
1
Optimized IntelliJ's native indexing performance
2
Developed an automated system to pre-build and distribute shared indexes
3
Integrated index generation directly into the CI pipeline to ensure seamless, hands-free index updates
