Python Senior Lead Software Engineer- Fixed Income Systematic Portfolios

Socket.dev; New York (NY); On-site; USD 190,000 - 260,000; Full time

Job summary

JPMorganChase is seeking a Python Senior Lead Software Engineer- Fixed Income Systematic Portfolios within Asset and Wealth Management to drive production-grade, scalable portfolio tooling and data-to-decision workflows. Lead cross-functional teams delivering secure, observable services and collaborate with portfolio managers and quants to translate research into production systems.

You will shape the lifecycle from data to analytics to execution, integrating AI-enabled development and

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.

Responsibilities

• Leads the design and delivery of core systematic portfolio tooling, translating quantitative research and portfolio needs into resilient production platforms.
• Partners with portfolio managers and quantitative researchers to build optimization, risk/exposure, and performance insight workflows that are clear and actionable for stakeholders.
• Drives agentic automated flows across the lifecycle from data to analytics to execution and controls, raising standards for reliability, scalability, and operational excellence.
• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• 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

Skills

Python

System design

Cloud-native

Agile

AI-assisted tools

Leadership

Financial domain

Education

Computer Science or related

Tools

Gurobi

MSCI Open Optimizer

Bloomberg

FactSet

Java

Kotlin

Clojure

Job description

JOB DESCRIPTION

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 Python Senior Lead Software Engineer- Fixed Income Systematic Portfolios at JPMorganChase within the Asset and Wealth Management 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.

You will fundamentally change how JPMorganChase Asset Management manages fixed income systematic portfolios, how accounts are constructed, optimized, and scaled day to day. As a lead in Systematic Portfolio Management Technology, you'll partner with portfolio managers and quants to turn research into production systems that directly drive investment decisions. You'll build and evolve the platform that powers portfolio optimization and performance insight, from data through to user experience. The team works on agentic flows - designing intelligent, automated workflows that accelerate research-to-production, reduce friction, and raise the quality bar.

Job responsibilities

• Leads the design and delivery of core systematic portfolio tooling, translating quantitative research and portfolio needs into resilient production platforms.
• Partners with portfolio managers and quantitative researchers to build optimization, risk/exposure, and performance insight workflows that are clear and actionable for stakeholders.
• Drives agentic automated flows across the lifecycle from data to analytics to execution and controls, raising standards for reliability, scalability, and operational excellence.
• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• 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

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 experience coding with Python
• Ability to tackle design and functionality problems independently with little to no oversight and to tackle design and functionality problems independently with little to no oversight, balancing speed, rigor, and risk
• Practical cloud-native experience, including building, deploying, and operating services with strong observability and resilience
• Experience with systematic investing or quantitative analytics workflows, including working with market/portfolio datasets and producing performance and risk insights for stakeholders
• Familiarity with portfolio optimization concepts and tooling (e.g., commercial optimization solvers), the ability to productionize research prototypes into scalable services, working knowledge of interactive research and prototyping workflows (e.g., notebooks) and performance-focused compute patterns (parallel/asynchronous processing)
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

• Experience building systematic portfolio construction/optimization platforms in a front-office environment
• Familiarity with optimization solvers and numerical methods (e.g., Gurobi, Axioma, MSCI Open Optimizer)
• Strong Python for analytics plus experience productionizing research workflows and experience with Java, Kotlin, Clojure, or other functional languages
• Experience integrating market data sources and building reliable analytics pipelines (e.g., Bloomberg/FactSet/MSCI)

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Our Asset and Wealth Management division is driven by innovators like you who are driven to create technology solutions that make us work more efficiently and help our businesses grow. It's our mission to efficiently take care of our clients' wealth, helping them get, and remain properly invested. Our team of agile technologists thrive in a cloud-native environment that values continuous learning using a data-centric approach in developing innovative technology solutions.