JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineer - VP, Valuation Control Group Technology

Backend EngineeringConfirmed live in the last 24 hours

Full-timeJersey City, NJ, USA$156.8k - $215kIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts and at least 5 years of applied experience.
Extensive Python engineering experience, hands-on platform experience, and financial application engineering experience in areas such as derivatives pricing, risk management, trade booking, or quantitative analytics.
Strong Databricks and Apache Spark experience, including PySpark, Delta Lake, and performance tuning.
Hands-on AWS experience across core services such as S3, EC2, Lambda, IAM, and container or orchestration services, with understanding of cloud security and cost management.
Knowledge of financial products, valuation and pricing concepts, and market data.
Experience leading engineering teams and delivering in a controlled, regulated environment.
Strong SQL, data modeling, and data-quality engineering skills.
Ability to manage stakeholders and bridge business and technical domains.

Responsibilities

Lead end-to-end architecture for Athena (Python), Databricks (PySpark and Delta Lake), and AWS-based valuation control platforms.
Develop and enhance pricing, risk, independent price verification, valuation adjustment, and fair value reporting tools within Athena.
Design, build, and optimize large-scale Databricks ETL and analytics pipelines for pricing, market, and profit-and-loss data.
Architect and manage cloud-native AWS solutions, including infrastructure, security, automation, and modernization initiatives.
Establish engineering best practices, code quality standards, continuous integration and continuous delivery processes, testing frameworks, and production monitoring.
Deliver automation and controls for independent price verification, valuation uncertainty detection, reconciliations, and regulatory compliance.
Collaborate with valuation control, risk, finance, quantitative, and business stakeholders to define requirements and drive Agile delivery.
Provide technical leadership, mentor engineering teams, oversee production support, and ensure scalable, auditable, and resilient solutions.
Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, including AI-assisted code review and refactoring, test strategy acceleration, and incident and root-cause analysis support; establish consistent validation standards for secure coding, peer review, and automated testing; and promote reuse of effective patterns across the team.
Apply knowledge of software development life cycle toolchain capabilities, including enterprise-authorized AI-assisted development and automation, to improve the value realized through automation.

Desired Qualifications

Knowledge of independent price verification, prudent valuation, XVA, or fair-value reserve methodologies.
Experience with reactive or streaming computation and real-time dashboards.
Experience with infrastructure as code using Terraform or CloudFormation, continuous integration and continuous delivery, and modern DevOps practices on AWS.
AWS certification, such as Solutions Architect, Developer, or Data Engineer at the Associate or Professional level.

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 (VP) - Valuation Control Group Technology at JPMorganChase within the Valuation Control Group Technology 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.

As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

Lead end-to-end architecture for Athena (Python), Databricks (PySpark/Delta Lake), and AWS-based valuation control platforms.
Develop and enhance pricing, risk, IPV, valuation adjustment, and fair value reporting tools within Athena.
Design, build, and optimize large-scale Databricks ETL and analytics pipelines for pricing, market, and P&L data.
Architect and manage cloud-native AWS solutions, including infrastructure, security, automation, and modernization initiatives.
Establish engineering best practices, code quality standards, CI/CD processes, testing frameworks, and production monitoring.
Deliver automation and controls for independent price verification, valuation uncertainty detection, reconciliations, and regulatory compliance.
Collaborate with valuation control, risk, finance, quants, and business stakeholders to define requirements and drive Agile delivery.
Provide technical leadership, mentor engineering teams, oversee production support, and ensure scalable, auditable, and resilient solutions.
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required Qualifications

Formal training or certification on software engineering concepts and 5+ years applied experience
Extensive Python engineering experience; with hands-on platform experience and financial application engineering (derivatives pricing, risk management, trade booking, and quantitative analytics etc.).
Strong Databricks / Apache Spark experience (PySpark, Delta Lake, performance tuning).
Solid hands-on AWS experience across core services (S3, EC2, Lambda, IAM, and container/orchestration services), with an understanding of cloud security and cost management.
Solid grasp of financial products, valuation/pricing concepts, and market data.
Proven experience leading engineering teams and delivering in a controlled, regulated environment.
Strong SQL, data modeling, and data-quality engineering skills.
Excellent stakeholder management and the ability to bridge business and technical domains.

Preferred Qualifications

Knowledge of IPV, prudent valuation, XVA, or fair-value reserve methodologies.
Experience with reactive/streaming computation and real-time dashboards.
Infrastructure-as-code (Terraform/CloudFormation), CI/CD, and modern DevOps practices on AWS.
AWS certification (e.g., Solutions Architect, Developer, or Data Engineer Associate/Professional).

Base Pay/Salary: Jersey City,NJ $156,750.00-$215,000.00

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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