Software Engineer III - Market Risk Reporting & Visualization

Aumni; Jersey City (NJ); Presencial; USD 130.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health care coverage

On-site wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Descripción de la vacante

JPMorgan Chase & Co. in Jersey City, NJ is seeking an experienced Software Engineer III to lead market risk data visualization and analytics initiatives. You will design, build, and optimize PySpark/SQL pipelines and data products for risk reporting and dashboards.

You'll collaborate with risk managers and data teams, apply governance practices, and leverage AI-assisted tooling with validation. The role emphasizes production reliability, security, and scalable cloud data platforms to transform

Formación

• Bachelor’s degree or equivalent practical experience in a technical field.
• Strong experience building production software or data engineering solutions.
• Proficiency in Python and PySpark, SQL, and distributed processing concepts.
• Experience with cloud data platforms or lakehouses and large datasets.
• Knowledge of data modeling, quality, and analytics-ready datasets.
• Familiarity with CI/CD, testing, and production support.
• Ability to translate requirements into maintainable implementations.
• Experience using AI-assisted development tools with proper validation.

Responsabilidades

• Design, build, and maintain production PySpark and SQL pipelines for market risk reporting and analytics.
• Transform complex source data into reusable datasets and views for dashboards and reports.
• Collaborate with risk managers and data teams to understand requirements and deliver fit-for-purpose solutions.
• Apply data governance, lineage, and quality practices to ensure trustworthy outputs.
• Write secure, readable code; participate in reviews and continuous improvement.
• Develop automated tests and deployment workflows for data products.

Conocimientos

Python

PySpark

SQL

Data pipelines

Cloud platforms

Data modeling

Data quality

CI/CD

AI-assisted tools

Educación

Bachelor’s degree in computer science or related field

Herramientas

Databricks

Apache Spark

Delta Lake

Unity Catalog

AWS

Descripción del empleo

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

As a Software Engineer III 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

• Design, build, and maintain production PySpark and SQL pipelines for market risk reporting and analytics.
• Transform complex source data into well‑defined, reusable datasets and views for dashboards, reports, and analytical applications.
• Work with business partners and risk subject‑matter experts to understand requirements, trace data needs, and deliver fit‑for‑purpose solutions.
• Apply data modeling, data quality, lineage, and governance practices so reporting outputs are consistent, traceable, and trusted.
• Develop secure, readable, and maintainable code; participate in design discussions, code reviews, and continuous improvement.
• Build and maintain automated tests and deployment workflows, and support monitoring and operational stability of data products.
• Investigate data discrepancies, performance bottlenecks, and production issues, and implement durable fixes.
• Use enterprise‑authorized AI‑assisted engineering tools to accelerate coding, testing, documentation, and troubleshooting while checking results for correctness, security, and performance.
• Explore practical uses of AI and automation in reporting and analysis, incorporating appropriate validation and human review.
• Collaborate effectively with other engineers, business stakeholders, and platform teams to deliver work in an agile environment.

Required qualifications, capabilities, and skills

• Bachelor’s degree in computer science, data science, engineering, applied mathematics, or a related technical discipline, or equivalent practical experience.
• Strong professional experience developing and supporting production software or data engineering solutions.
• Strong Python and PySpark skills, with solid SQL and understanding of distributed processing concepts.
• Experience building data pipelines on a cloud data platform or lakehouse, working with large datasets and cloud object storage.
• Knowledge of data modeling, data quality, and the design of reliable datasets for analytics and reporting.
• Experience with software development fundamentals, including version control, testing, code review, CI/CD, and production support.
• Ability to analyze business and technical requirements and turn them into clear, maintainable implementations.
• Experience using approved AI‑assisted development tools, with care to review and test generated output rather than relying on it without validation.
• Strong problem‑solving, communication, and teamwork skills.
• Interest in financial markets, market risk, or other complex data domains.

Preferred qualifications, capabilities, and skills

• Experience with Databricks, Apache Spark, Delta Lake, Unity Catalog, and Amazon Web Services.
• Experience preparing data for dashboards, visualization tools, regulatory reporting, or analytical applications.
• Familiarity with data governance, lineage, data observability, and data product practices.
• Exposure to LLMs, agentic AI, or automation techniques applied to software development or data workflows.
• Experience with APIs or services for accessing analytical data.
• Knowledge of market risk concepts such as sensitivities, Value at Risk, stress testing, or limits.
• Experience tuning Spark workloads and improving pipeline performance, reliability, or cost.

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. Design, build, test, and run PySpark/SQL solutions that transform complex risk datasets into reliable reporting and analytics for market risk.