Java Lead eSoftware Engineer - Equities Algo Trading VP

JP Morgan Chase; Greater London; On-site; GBP 62,000 - 102,000; Full time

Job summary

JPMorgan Chase in London is seeking an experienced software engineer to design and implement algorithmic trading strategies and execution platforms. You will collaborate with quants, traders, and technologists across NA, EMEA, and APAC to refine models and ensure robust market responses.

The role demands advanced Java, Python, Jupyter/Pandas skills, and a strong background in high-throughput trading systems, data analysis, and shell scripting within a global team.

Qualifications

• Formal training or certification on software engineering concepts and proficient advanced experience in Java.
• Proficiency in low latency, real-time, scalable trading systems.
• Experience in building and dealing with high throughput messaging APIs and middleware products.
• Ability to work effectively within a global team spread across NA, EMEA, and APAC while influencing and contributing to the development of the global platform.
• Experience with algorithmic trading, including systematic trading.
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field.
• Experience with FIX, Market Data, Analytics, and OMS.
• Market microstructure knowledge.
• Equities, FX, options, and derivatives asset class knowledge.
• Experience with Jupyter/Pandas, KDB+/Q, Python, and shell scripting.

Responsibilities

• Design and develop algo trading strategies and execution platforms.
• Design and develop our simulation environment and maintain automated testing of strategies and their responses to staged market conditions.
• Enhance existing strategies to improve performance by reviewing analytics and evolving our models and signals.
• Support the desk by deep-diving into specific cases to interpret strategy behavior and address issues.
• Develop scalable real-time processing solutions using agile methodologies.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
• Work with quants, traders, technologists, and all stakeholders in our business to develop, implement, support, and maintain a market-leading algo execution platform trading global markets.
• Participate in all aspects of the trading engine.

Skills

Java

Python

Jupyter

Pandas

Algorithmic trading

Shell scripting

Education

Degree in Computer Science/Engineering/Math

Tools

Flow

JPM Flow/OMS interfaces

FIX

Market Data

KDB+/Q

Job description

Salary: £62,000 - 102,000 per year

Requirements:

• Formal training or certification on software engineering concepts and proficient advanced experience in Java
• Proficiency in low latency, real-time, scalable trading systems
• Experience in building and dealing with high throughput messaging APIs and middleware products
• Ability to work effectively within a global team spread across NA, EMEA, and APAC while influencing and contributing to the development of the global platform
• Experience with algorithmic trading, including systematic trading
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
• Experience with FIX, Market Data, Analytics, and OMS
• Market microstructure knowledge
• Equities, FX, options, and derivatives asset class knowledge
• Experience with Jupyter/Pandas, KDB+/Q, Python, and shell scripting

Responsibilities:

• Design and develop algo trading strategies and execution platforms
• Design and develop our simulation environment and maintain automated testing of strategies and their responses to staged market conditions
• Enhance existing strategies to improve performance by reviewing analytics and evolving our models and signals
• Support the desk by deep-diving into specific cases to interpret strategy behavior and address issues
• Develop scalable real-time processing solutions using agile methodologies
• Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Work with quants, traders, technologists, and all stakeholders in our business to develop, implement, support, and maintain a market-leading algo execution platform trading global markets
• Participate in all aspects of the trading engine

Technologies:

• Flow
• Support
• Jupyter
• Java
• Python
• pandas
• Fine-tuning

More:

We are JPMorgan Chase within the Equities Trading Technology Organization, and our JPM Electronic Client Services (ECS) desk is a key part of our franchise with continued business and market share growth, currently the top provider in EMEA for agency flow execution. We work as a global team across the world, and our colleagues share a market-leading mentality focused on innovation and excellence. Our product is global, so you will collaborate with colleagues across NA, EMEA, and APAC while building on their expertise and sharing your own. J.P. Morgan is a global leader in financial services, providing strategic advice and products to prominent corporations, governments, wealthy individuals, and institutional investors. We are committed to diversity and inclusion, equal opportunity, and reasonable accommodations. Our Commercial & Investment Bank is a global leader across banking, markets, securities services, and payments, serving clients in more than 100 countries.