Lead Software Engineer - Market Risk Reporting & Visualization

Aumni; Jersey City (NJ); Presencial; USD 140 000 - 190 000; Tempo integral

Resumo da oferta

JPMorgan Chase & Co. in New Jersey seeks an experienced Lead Software Engineer to shape market risk reporting and analytics. You will lead the Market Risk Data Visualization Team, delivering PySpark/SQL datasets and visualization-ready views on modern cloud platforms.

The role emphasizes AI-enabled development practices, robust testing, and strong collaboration with risk managers and data teams. You will mentor engineers, drive scalable data models, and ensure secure, production-grade code with

Qualificações

• Degree in a technical field or equivalent practical experience.
• Experience leading complex data-intensive deliveries.
• Strong Python and PySpark with SQL and distributed processing knowledge.
• Hands-on with lakehouse/cloud platforms (Databricks, Delta Lake, S3).
• Experience designing data products for reporting/visualization.

Responsabilidades

• Lead design and delivery of PySpark/SQL pipelines for analytics-ready datasets.
• Define reusable patterns for reporting data products, data contracts and quality checks.
• Build data models and views to support interactive reporting and visualization.
• Collaborate with stakeholders to translate needs into technical solutions.
• Guide architecture across batch processing, lakehouse storage, and visualization integration.
• Promote AI-assisted development with validation of AI-generated code and results.
• Mentor engineers, conduct design reviews, and raise engineering standards.
• Address performance, data quality, and operational issues at scale.

Conhecimentos

Python

PySpark

SQL

Cloud data platforms

Data modeling

Leadership

CI/CD

AI-assisted development

Formação académica

Bachelor's or advanced degree in computer science/data science/engineering

Ferramentas

Databricks

Delta Lake

Amazon S3

Descrição da oferta de emprego

Job Description

We have an exciting opportunity for an experienced software engineer to shape the next generation of market risk reporting and analytics.

As a Lead Software Engineer in the Market Risk Data Visualization Team, you will provide hands-on technical leadership for data products that help risk professionals understand a large, complex, and fast-moving market risk environment. You will design and deliver high-quality analytical datasets, reporting pipelines, and visualization-ready views using PySpark, SQL, and modern cloud data platforms. You will work closely with risk managers, quantitative and data teams, product partners, and other engineers to turn complex business questions into clear, trusted, and useful reporting.

The team is advancing AI-enabled engineering practices to improve how it analyzes requirements, develops and tests pipelines, and delivers reporting capabilities. You will help establish effective patterns for this work, including sound engineering controls and human review, while remaining accountable for the quality, security, and correctness of production outcomes.

Job Responsibilities

• Lead the design and delivery of scalable PySpark and SQL pipelines that transform complex market risk data into trusted, analytics-ready datasets.
• Define reusable engineering patterns for reporting data products, including data contracts, semantic definitions, quality checks, lineage, testing, deployment, and operational support.
• Build and optimize data models and views that support interactive reporting, visualization, analysis, and business decision-making.
• Partner with business stakeholders and risk subject-matter experts to clarify reporting needs, identify the right data, and translate requirements into maintainable technical solutions.
• Guide architecture and implementation across batch data processing, lakehouse storage, and visualization or reporting integration.
• Drive adoption of enterprise-authorized AI-assisted development practices, setting clear expectations for validating generated code and analysis for correctness, performance, security, and data handling.
• Identify opportunities to apply AI and automation to requirements analysis, pipeline development, test generation, data quality investigation, and reporting workflows, with appropriate human oversight.
• Develop secure, resilient, production-quality code; lead code reviews; and improve automated testing, CI/CD, observability, and support practices.
• Mentor engineers through technical coaching, design reviews, pairing, and constructive feedback; help raise engineering standards across the team.
• Identify and resolve performance, scalability, data quality, and operational issues across large data workloads.
• Communicate technical options, delivery risks, and recommendations clearly to business partners, engineering peers, and senior leaders.

Required qualifications, capabilities, and skills

• Bachelor’s or advanced degree in computer science, data science, engineering, applied mathematics, or a related technical discipline, or equivalent practical experience.
• Significant experience designing, building, and operating production data-intensive applications, including technical leadership of complex deliveries.
• Expert-level Python and PySpark skills, with strong SQL and a solid understanding of distributed data processing and Spark performance.
• Hands‑on experience with a modern lakehouse or cloud data platform, such as Databricks and Delta Lake, and cloud object storage such as Amazon S3.
• Strong understanding of data modeling, analytical data products, data quality, lineage, access controls, and governance in an enterprise environment.
• Experience designing data products for reporting, visualization, or analytical use, including translating business definitions into consistent, usable datasets.
• Demonstrated ability to lead technical design, make pragmatic architecture decisions, and communicate trade‑offs to varied audiences.
• Experience with automated testing, CI/CD, code review, production monitoring, and operational support for data pipelines.
• Demonstrated experience using approved AI-assisted software development tools effectively, with disciplined validation of AI-generated code and recommendations.
• Strong collaboration skills and the ability to work with business partners and technical teams in an agile delivery environment.
• Familiarity with financial markets, market risk, or other complex financial data domains, or the ability to learn the domain quickly.

Preferred qualifications, capabilities, and skills

• Experience with Databricks workflows or pipelines, Unity Catalog, Delta Lake, and cloud-native data services.
• Experience with reporting and visualization tools or frameworks, and with designing datasets for interactive dashboards and analytical applications.
• Experience with data product or data mesh practices, including discoverability, ownership, reusable interfaces, and governed self‑service access.
• Experience applying LLMs or agentic techniques to software engineering, requirements analysis, data investigation, or reporting workflows.
• Experience building APIs or services that make governed analytical data available to applications and AI‑enabled tools.
• Knowledge of market risk measures, sensitivities, Value at Risk, stress testing, limits, or related risk reporting.
• Experience with infrastructure as code, data observability, and performance or cost optimization at scale.

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

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Provide hands‑on technical leadership for market risk data products, building and optimizing PySpark/SQL pipelines and data models.