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# Senior Lead Software Engineer - Python - Real-Time Risk & PnL | Front Office

- **Company:** JPMorgan Chase & Co.
- **Location:** Greater London, UK
- **Experience:** Expert
- **Contract:** Franchise
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Software Quality, Code Review, Databases, Information Engineering, Distributed Systems, Python (Programming Language), NoSQL, Data Streaming, Sql Optimization, Caching, Reliability of Systems, Event Driven Architecture, Kubernetes, Information Technology, Low Latency, Data Analytics, Apache Kafka, Microservices
- **Published:** September 10, 2026
- **Apply:** https://www.collegerecruiter.com/job/2840588707-senior-lead-software-engineer-python-real-time-risk--pnl--front-office

## About the Role

* Expertise in Python and cloud-native development (Kubernetes, AWS/GCP)
 * Experience with AI/ML tooling
 * Proven ability to build real-time, low-latency systems for trading or pricing workflows
 * Strong data engineering and analytics skills
 * Front Office domain knowledge: post-trade lifecycle, live risk, P&L, pricing across Credit products
 * Background in computer science, engineering, or mathematics with hands-on system design and delivery
 * Ability to translate complex requirements into production-grade solutions
 * Effective collaboration and communication skills
 * Adaptability in fast-paced environments
 * Problem-solving mindset

Preferred Qualifications, Capabilities, and Skills:

 * Mastery of distributed systems: microservices, event-driven architectures, Kafka, AMPS, TibRV
 * Fluency with time-series databases, NoSQL, caching layers, and SQL optimization for trading data
 * Experience translating quantitative models into production systems
 * Technical leadership in code reviews and mentorship
 * Track record of raising engineering standards
 * Familiarity with financial market data and trading workflows
 * Passion for innovation and continuous learning

## Description

* Architect and deliver low-latency, real-time streaming and calculation engines for trading platforms
 * Lead technical direction across engineering teams and mentor talent
 * Champion modern frameworks and cloud-native best practices
 * Partner with quantitative analysts and trading desks to translate complex requirements into scalable solutions
 * Drive adoption of AI tooling, event-driven architectures, and next-generation cloud platforms
 * Collaborate with traders and product leaders to enhance pre-trade pricing, eTrading execution, and live position management
 * Ensure systems meet sub-second latency requirements for risk and P&L calculations
 * Shape product strategy and influence platform evolution
 * Foster a culture of innovation and continuous improvement
 * Maintain high standards for code quality and system reliability
 * Communicate technical concepts clearly to stakeholders


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