Portfolio Management Engineer Jobs

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13d ago

Python Senior Lead Software Engineer- Fixed Income Systematic Portfolios

JPMorganChase New York, NY

New York, NY

13d ago

$171k - $260k/yr Full time Python Senior Data Integration

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Job Description

Senior Python Lead Software Engineer for Fixed Income Systematic Portfolios with JPMorganChase, on-site in New York, NY, part of Asset and Wealth Management, responsible for designing and delivering production systems for portfolio optimization and performance insights.

Responsibilities

Lead the design and delivery of core systematic portfolio tooling, translating quantitative research and portfolio requirements into stable production systems.
Collaborate with portfolio managers and quantitative researchers to build optimization, risk/exposure, and performance-insight workflows that are transparent and actionable for stakeholders.
Drive end-to-end automated workflows spanning data, analytics, execution, and controls, elevating reliability, scalability, and operational excellence.
Provide ongoing technical guidance to the business and its technical teams, contractors, and vendors.
Develop secure, production-grade code and review peers' work to maintain code quality and correctness.
Promote adoption and governance of AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, while establishing measurable validation standards and encouraging reuse of proven patterns within the SDLC/TLM toolchain.
Leverage SDLC tooling and approved AI-assisted development capabilities to maximize automation value at scale.
Influence product design, application functionality, and technical operations through strategic decisions.
Act as a function-wide subject matter expert in designated focus areas.
Contribute to the engineering community by advocating firmwide SDLC frameworks, tools, and practices.
Encourage peers and project decision-makers to adopt and apply leading-edge technologies.

Requirements

Formal training or certification in software engineering with at least five years of practical experience.
Hands-on experience delivering system design, application development, testing, and maintaining operational stability.
Advanced Python programming proficiency.
Ability to independently address design and functionality challenges with minimal supervision, 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, handling market or portfolio data and delivering performance and risk insights for stakeholders.
Familiarity with portfolio optimization concepts and tooling (such as commercial solvers), the ability to productionize research prototypes into scalable services, plus knowledge of interactive research/prototyping workflows (notebooks) and performance-focused compute patterns (parallel/asynchronous processing).
Proven experience guiding the use of enterprise-approved AI-assisted development tools for coding, code review, test acceleration, and troubleshooting, and setting team standards for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers on compliant usage patterns and controls.
Background in computer science, computer engineering, mathematics, or a related technical field.

Technologies

Python
Java
Kotlin
Clojure
Gurobi
Axioma
MSCI Open Optimizer
Bloomberg
FactSet
Notebooks
AI-assisted software development tools

Benefits

Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Compensation

USD 171,000 - 260,000 per year

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