LOG IN
SIGN UP
Canary Wharfian - Online Investment Banking & Finance Community.
Sign In
or continue with e-mail and password
Forgot password?
Don't have an account?
Create an account
or continue with e-mail and password
By signing up, you agree to our Terms & Conditions and Privacy Policy.

Lead Software Engineer - Quant Developer Python

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 5 days ago

No clicks

**Lead Software Engineer - Quant Developer Python | JPMorganChase** Spearhead a high-performing agile team as a **Lead Software Engineer**, driving the transformation of Quant Research Platform and Portfolio Construction Management stack. Leverage your **expertise in Python, statistical methods, and data analytics** to build, enhance, and deliver secure, scalable tech products. Collaborate daily with Quant Research to develop models, validate workflows, and standardize research-to-production patterns. **5+ years of software engineering experience** required, with a strong background in complex systems architecture, cloud native environments, and the financial services industry. Lead communities of practice, foster diversity, and champion innovation.

Compensation
Not specified

Currency: Not specified

City
New York City
Country
United States

Full Job Description

Location: New York, NY, United States

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Asset and Wealth Management line of business, 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. This is a role for a high-performing Quant Developer in a high-performing team. We are looking for developers to contribute to the transformation of the Quant Research Platform and Portfolio Construction and Management stack into an industry-leading platform. If you are an expert in Python, business-focused, and have a strong grounding in statistical methods and data analytics, please apply. You will work alongside Quant Research on model development, validation workflows, and the build-out of reusable Python Quant libraries that standardize research-to-production patterns and accelerate delivery across the platform. Youll be required to apply your depth of knowledge and expertise across the software development lifecycle, partnering continuously with Quant Research on a daily basis.

Job responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to 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 . 
  • Excellent software development skills in Python and ability to learn new technologies quickly
  • Advanced knowledge of architecture and design across complex systems
  • Knowledge of industry-wide technology trends and best practices
  • Ability to work in large, collaborative teams to achieve organizational goals

     

  • Proficient in all aspects of the Software Development Life Cycle

     

  • In-depth knowledge of the financial services industry and their IT systems
  • Passionate about building an innovative culture
  • Practical cloud native experience

 

Preferred qualifications, capabilities, and skills

  • CFA charter holder
  • BS or MSc degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related scientific discipline
Support the quant research and portfolio management business within our Global Fixed Income, Currency, and Commodity group.

Lead Software Engineer - Quant Developer Python

Compensation

Not specified

City: New York City

Country: United States

J.P. Morgan logo
Bulge Bracket Investment Banks

5 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Lead Software Engineer - Quant Developer Python | JPMorganChase** Spearhead a high-performing agile team as a **Lead Software Engineer**, driving the transformation of Quant Research Platform and Portfolio Construction Management stack. Leverage your **expertise in Python, statistical methods, and data analytics** to build, enhance, and deliver secure, scalable tech products. Collaborate daily with Quant Research to develop models, validate workflows, and standardize research-to-production patterns. **5+ years of software engineering experience** required, with a strong background in complex systems architecture, cloud native environments, and the financial services industry. Lead communities of practice, foster diversity, and champion innovation.

Full Job Description

Location: New York, NY, United States

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Asset and Wealth Management line of business, 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. This is a role for a high-performing Quant Developer in a high-performing team. We are looking for developers to contribute to the transformation of the Quant Research Platform and Portfolio Construction and Management stack into an industry-leading platform. If you are an expert in Python, business-focused, and have a strong grounding in statistical methods and data analytics, please apply. You will work alongside Quant Research on model development, validation workflows, and the build-out of reusable Python Quant libraries that standardize research-to-production patterns and accelerate delivery across the platform. Youll be required to apply your depth of knowledge and expertise across the software development lifecycle, partnering continuously with Quant Research on a daily basis.

Job responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to 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 . 
  • Excellent software development skills in Python and ability to learn new technologies quickly
  • Advanced knowledge of architecture and design across complex systems
  • Knowledge of industry-wide technology trends and best practices
  • Ability to work in large, collaborative teams to achieve organizational goals

     

  • Proficient in all aspects of the Software Development Life Cycle

     

  • In-depth knowledge of the financial services industry and their IT systems
  • Passionate about building an innovative culture
  • Practical cloud native experience

 

Preferred qualifications, capabilities, and skills

  • CFA charter holder
  • BS or MSc degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related scientific discipline
Support the quant research and portfolio management business within our Global Fixed Income, Currency, and Commodity group.