DescriptionBe an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorganChase within the Equities Electronic Trading Team 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. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams contractors and vendors
- Partner closely with research and trading teams to build and support integrated alpha research and backtesting platform.
- Design and build robust tools and frameworks to support quantitative research and production trading.
- Design build and support critical research infrastructure (e.g. backtesting frameworks strategy containers high performant and scalable simulation environments feature and strategy signal stores)
- Develop interfaces and integration points between Python research environments and Java-based execution systems.
- Build and support research and trading analytics libraries (e.g. markouts strategy analytics)
- Serves as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks tools and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Adds to the team culture of diversity opportunity inclusion and respect.
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied experience
- Hands-on practical experience delivering system design application development testing and operational stability
- Advanced in one or more programming language(s) - Strong expertise in Python. Comfortable with scientific & dataset libraries such as pandas numpy.
- Design and implementation of front-office systems for quant trading.
- Knowledge of data pipelines market data processing and backtesting workflows.
- Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines
- Ability to tackle design and functionality problems independently with little to no -depth knowledge of the financial services industry and their IT systems
- Proficiency in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle
- Academic experience in Computer Science Computer Engineering Mathematics or a related technical field
- Knowledge of machine learning statistical techniques and related libraries.
Preferred qualifications capabilities and skills
Required Experience:
Senior IC
DescriptionBe an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.As a Senior Lead Software Engineer at JPMorganChase within the Equities Electronic Trading Team you are an integral part of an agile team that works to enh...
DescriptionBe an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorganChase within the Equities Electronic Trading Team 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. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams contractors and vendors
- Partner closely with research and trading teams to build and support integrated alpha research and backtesting platform.
- Design and build robust tools and frameworks to support quantitative research and production trading.
- Design build and support critical research infrastructure (e.g. backtesting frameworks strategy containers high performant and scalable simulation environments feature and strategy signal stores)
- Develop interfaces and integration points between Python research environments and Java-based execution systems.
- Build and support research and trading analytics libraries (e.g. markouts strategy analytics)
- Serves as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks tools and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Adds to the team culture of diversity opportunity inclusion and respect.
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied experience
- Hands-on practical experience delivering system design application development testing and operational stability
- Advanced in one or more programming language(s) - Strong expertise in Python. Comfortable with scientific & dataset libraries such as pandas numpy.
- Design and implementation of front-office systems for quant trading.
- Knowledge of data pipelines market data processing and backtesting workflows.
- Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines
- Ability to tackle design and functionality problems independently with little to no -depth knowledge of the financial services industry and their IT systems
- Proficiency in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle
- Academic experience in Computer Science Computer Engineering Mathematics or a related technical field
- Knowledge of machine learning statistical techniques and related libraries.
Preferred qualifications capabilities and skills
Required Experience:
Senior IC
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