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

Join us to build the real-time engine behind one of the worlds largest Credit Trading franchises. Youll shape how billions move architecting technology that drives revenue growth and empowers traders to compete and win. At JPMorganChase we invest in your growth offering opportunities to lead innovate and make a direct impact. Work alongside quants traders and product leaders in a fast-paced collaborative environment. Your expertise will help us push the limits of whats possible in global markets.

As a Senior Lead Software Engineer in Global Credit Trading Technology you will architect and deliver real-time risk and P&L systems for the Front Office. You will collaborate closely with trading desks and quantitative analysts to design solutions that drive market performance. Your work will directly influence trader decisions and firm profitability. You will lead technical direction mentor talent and champion modern frameworks and cloud-native best practices. This role offers the opportunity to innovate and shape the future of credit trading technology.

Job Responsibilities:

• 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

Required Qualifications Capabilities and Skills:

• 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