JPMorganChase Logo

JPMorganChase

Lead Software Engineer - Financial Markets

Posted 5 Days Ago
Be an Early Applicant
Hybrid
New York, NY, USA
Senior level
Hybrid
New York, NY, USA
Senior level
Lead an agile team to design, build, and operate low-latency, high-availability Python applications for Rates trading desks, owning architecture across data ingestion, calculation services, UI, and operational tooling. Partner with traders, drive technical decisions, improve CI/CD and observability, mentor engineers, and ensure production correctness, performance, and resiliency under tight timelines and high business impact.
The summary above was generated by AI

As a Lead Software Engineer at JPMorganChase within Global Technology, you will lead and mentor an agile team to architect, design, and deliver trusted, market-leading technology products in a secure, stable, and scalable way. In this role on the Rates Live Risk & PnL team, you will build and operate low-latency, high-availability Python applications used directly by Rates trading desks for intraday risk, PnL, and decision support in a fast-paced, front-office environment.

The Rates Live Risk & PnL team delivers real-time trading risk and profit & loss capabilities, partnering closely with traders and desk strategists. You will own critical components across the stack—from data ingestion and calculation services to UI and operational tooling—ensuring performance, correctness, and resiliency under tight timelines and high business impact.


Job Responsibilities

  • Lead the design and development of Python-based live risk and PnL applications, driving continual, iterative improvements across product teams
  • Partner directly with Rates traders and stakeholders to translate business needs into reliable, low-latency technical solutions
  • Drive decisions on software solutions, architecture, design, development, and technical troubleshooting with a focus on strategic direction and production excellence
  • Design and implement secure, high-quality production code, with a strong focus on correctness, performance, and operational stability
  • Own architecture and design artifacts for complex, real-time systems, ensuring non-functional requirements (latency, throughput, availability) are met
  • Build and improve monitoring, alerting, and operational runbooks, and participate in production support/incident management as needed
  • Collaborate with DevOps and platform partners to improve CI/CD, deployment automation, and environment reliability
  • Mentor and coach junior and mid-level engineers through code reviews, technical guidance, and best-practice standards
  • Identify systemic issues (technical debt, performance bottlenecks, data quality gaps) and drive remediation aligned to long-term platform goals
  • Influence and shape a 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 in coding Java or Python, including building production services and performance-sensitive applications
  • Financial markets background (Rates products, risk, PnL, market data, trade lifecycle)
  • Hands-on experience in system design, application development, testing, and operational stability with a track record of leading complex technical initiatives
  • Strong understanding of real-time/distributed system concepts (e.g., concurrency, messaging/streaming patterns, caching, failure modes)
  • Experience delivering software in a large corporate environment with strong engineering standards (testing, code quality, security, SDLC)
  • Practical experience with CI/CD, application resiliency, and secure engineering, including production monitoring and incident response
  • Proven ability to lead technical design discussions, mentor engineers, and partner effectively with business stakeholders
  • Strong problem-solving skills and ability to learn quickly and deliver high-quality outcomes under time pressure

Preferred qualifications, capabilities, and skills

  • Exposure to Deephaven (or similar real-time analytics/UI platforms) and its ecosystem, including installation/runtime dependencies (e.g., Java) and related operational considerations
  • Experience with DevOps practices for low-latency services (deployments, observability, capacity/performance testing, environment management)
  • Understanding of UI programming (web or desktop) and collaborating across UI/backend boundaries to deliver trader-facing workflows
  • Familiarity with Java and/or mixed-language environments where Python services interact with JVM-based components
  • Experience with event-driven architectures and high-performance data pipelines used in front-office systems
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 TeamJ.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 
HQ

JPMorganChase New York, New York, USA Office

270 Park Avenue, New York, NY, United States, 10017-2014

JPMorganChase New York, New York, USA Office

4 Metrotech Center, New York, NY, United States, 11201

Similar Jobs

31 Minutes Ago
In-Office
New York, NY, USA
165K-242K Annually
Senior level
165K-242K Annually
Senior level
Cloud • Information Technology • Machine Learning
Design, build, and operate high-performance multi-tenant distributed file and block storage. Implement control-plane services (provisioning, tenancy, quota, snapshots), improve NFS data path and CSI driver features, enhance reliability and observability, debug production issues, and collaborate with compute, platform, and infrastructure teams.
Top Skills: BeegfsC++Ceph/RbdClickhouseCockroachdbCsiDaosGoGpfsGpudirect StorageGrafanaGrpcInfinibandKubernetesLustreNfsPosixPrometheusProtobufRdmaRoceRustSpdkTemporalWeka
31 Minutes Ago
In-Office
New York, NY, USA
188K-275K Annually
Expert/Leader
188K-275K Annually
Expert/Leader
Cloud • Information Technology • Machine Learning
Lead design and delivery of multi-tenant, high-performance file and block storage systems for AI workloads. Own architecture from data path to control plane, optimize IO patterns, integrate RDMA/GPU Direct/SPDK, ship Kubernetes-native storage (CSI, controllers, CRDs), and drive reliability, observability, and mentoring across the storage stack.
Top Skills: C++CephControllersCrdCsiDashboardsDistributed FilesystemsGoGpu Direct StorageInfinibandKubernetesLustreMetricsNfsOperatorsRdmaRoceRustS3SpdkTelemetry
31 Minutes Ago
In-Office
New York, NY, USA
153K-224K Annually
Senior level
153K-224K Annually
Senior level
Cloud • Information Technology • Machine Learning
Build and improve CoreWeave's multi-tenant file and block storage: control plane services in Go, NFS file data path, CSI driver features, telemetry/observability, and production debugging for distributed, high-performance systems. Collaborate cross-functionally with compute, platform, and infrastructure teams.
Top Skills: C++ClickhouseCockroachdbCsiGoGrafanaKubernetesNfsPosixPrometheusRocksdbRust

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account