
Global financial services firm
Senior Lead Software Engineer, Central Risk Booking, Equities Trading Technology
Required skills
Python
Java
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase within the Equities Trading Technology Organization, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
The successful candidate will join the CRB Execution Platform team and collaborate with quants, traders, and technologists to develop, implement, support, and maintain the systematic liquidity provision and execution platform for Central Risk Book desk. The work delivered in this role will have a direct impact on the business, and you will participate in all aspects of the trading platform. You will work closely with all stakeholders across the business.
Depending on your skills and interests, your responsibilities may include working on engine infrastructure, introducing and utilizing alpha signals, designing and building matching engines, optimizing performance, and improving the scalability and resiliency of the system.
Job responsibilities
- Design and develop execution and systematic liquidity provision platform
- Support the desk on the implementation of trading signals & liquidity provision strategies
- Develop scalable real-time processing solutions using agile methodologies
- Maintain and support legacy systems
- Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the platforms design, application functionality, and technical operations and processes
Required qualifications, capabilities, and skills
- Bachelor’s degree in computer science, Engineering, Mathematics, or other related disciplines
- 10 or more years of software engineering experience with proficiency in low latency, real-time, scalable trading systems
- Formal training or certification on software engineering concepts and proficient advanced experience in Java
- Experience in building/dealing with high throughput messaging APIs, middleware products
- Ability to work effectively within a global team (spread across NA, EMEA, APAC) while influencing and contributing towards the development of the global platform
- Experience with algorithmic trading, including systematic trading
- Experience with Python
- Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
Employees
New York City
Headquarters
$500B
Valuation
Reviews
10 reviews
3.8
10 reviews
Work-life balance
3.5
Compensation
4.0
Culture
3.8
Career
3.2
Management
2.8
68%
Recommend to a friend
Pros
Good benefits and compensation
Supportive colleagues and environment
Flexible work arrangements
Cons
Long hours and heavy workload
Management issues and lack of direction
High stress and expectations
Salary Ranges
44 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analytics Solutions Associate
1 reports
$139,000
total per year
Base
$107,000
Stock
-
Bonus
-
$139,000
$139,000
Interview experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
50%
Experience
Positive 25%
Neutral 75%
Negative 0%
Interview process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
In-person/Final Interview
5
Offer
Common questions
Behavioral/STAR
Past Experience
Culture Fit
Financial Knowledge
Case Study
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