Luxoft
Website:
luxoft.com
Job details:
We are looking for a Senior Architect to lead the technical strategy and transformation of our Trade Surveillance platform. This is a high-impact role partnering with Enterprise Architecture, Compliance, Quant, and Engineering teams to build the next-generation surveillance ecosystem.
🚀 Role Overview
You will drive the multi-year modernization roadmap, transitioning from a Q/KDB-based stack to a cloud-native Python/PySpark architecture, while ensuring scalability, regulatory compliance, and engineering excellence.
🧭 Key Responsibilities
Architecture & Strategy
- Define and evolve the trade surveillance technology roadmap
- Own end-to-end architecture:
- Scenario development
- Alert generation
- Case management & investigator tooling
- Establish architecture standards, patterns, and engineering guardrails
Surveillance & Scenario Engineering
- Design surveillance scenarios covering:
- Spoofing, layering, wash trades
- Insider trading, front-running
- Cross-product manipulation
- Engineer solutions across Q/KDB (legacy) and Python/PySpark (target)
- Build reusable frameworks for:
- Scenario authoring & tuning
- Backtesting & calibration
- False-positive reduction
Platform Modernization
- Lead cloud migration (AWS / Azure / GCP) of the surveillance platform
- Architect distributed data processing using Spark, Databricks, EMR
- Ensure performance, auditability, and scalability across billions of events/day
Data & Engineering Excellence
- Design data models for:
- Orders, trades, market data, reference data
- Communications and alternative datasets
- Drive best practices:
- CI/CD, IaC, testing, observability
- Data lineage & regulatory traceability
Innovation & GenAI
- Explore AI-driven surveillance use cases:
- Alert narrative generation
- Investigator copilots
- NLP-based communications surveillance
- Intelligent triaging
Leadership & Collaboration
- Mentor senior engineers and lead architectural reviews
- Partner with Compliance, Audit, and Regulators
- Influence cross-functional stakeholders
✅ Must-Have Skills
- 12+ years in large-scale data/surveillance/risk platforms
- Deep expertise in:
- Q/KDB+ (schema design, tick analytics)
- Python & PySpark (distributed systems)
- Strong exposure to:
- Cloud platforms (AWS / Azure / GCP)
- Streaming architectures (Kafka, Flink, Kinesis)
- Working knowledge of Java/JVM ecosystem
Understanding of:
- Market microstructure & trade lifecycle
- Regulations (MiFID II, MAR, Dodd-Frank, FINRA, SEBI)
⭐ Nice to Have
- Migration experience: Q/KDB → Python/Spark
- Exposure to vendor platforms:
- Nasdaq SMARTS, Eventus, Scila, Actimize, b-next
- GenAI/ML experience (LLMs, NLP, RAG frameworks)
- Kubernetes, Docker, Terraform
- Background in quant or low-latency systems
Click on Apply to know more.