JPMorganChase Logo

JPMorganChase

Software Engineer III - Data Engineering

Posted 2 Days Ago
Be an Early Applicant
Hybrid
London, Greater London, England
Mid level
Hybrid
London, Greater London, England
Mid level
The role involves collaborating with data scientists and engineers to develop and maintain data pipelines and scalable infrastructure for AI products. You'll be responsible for automating CI/CD processes, improving deployment velocity, and contributing to architectural discussions.
The summary above was generated by AI

Job Description
Short description
The Applied Innovation of AI (AI2) team is an elite machine learning group strategically located within the CTO office of JP Morgan Chase. AI2 tackle business critical priorities using innovative machine learning techniques and technologies with a focus on AI for Data, Software, Cybersecurity & Controls and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMC businesses as they grow. We are looking for excellent data engineers to help us with the design, development, deployment, delivery, and maintenance of AI products to our clients. In this role, you will be working with other engineers and data scientists in building and maintaining software and infrastructure that supports our team in developing and delivering disruptive AI products that serve our customers in production.
Responsibilities

  • Collaborate with data scientists and research/machine learning engineers to deliver products to production.
  • Build and maintain data pipelines for analytics, model evaluation and training (includes versioning, compliance and validation).
  • Build and maintain scalable infrastructure as code in the cloud (private & public).
  • Rapid prototyping & shorten development cycles for our software and AI/ML products:
    • Build and automate and maintain our AI/ML data pipelines & workstream from data analysis, experimentation, model training, model evaluation, deployment, operationalization, and tuning to visualization.
    • Improve and maintain our automated CI/CD pipeline while collaborating with our stakeholders, various testing partners and model contributors.
  • Increase our deployment velocity, including the process for deploying models and data pipelines into production.
  • Contribute to architecture and software management discussions & tasks in the overall team.


Requirements

  • Minimum Bachelor of Science degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering or related field.
  • Experience in Python Programming, OOP, Databases and Big Data.
  • Experience in some of the following technologies Hadoop, PySpark, AWS Cloud, AWS DynamoDB, AWS Lambda, AWS Redshift, AWS Kinesis, AWS Athena, AWS Glue, Databricks, Elasticsearch, Airflow, Docker/Kubernetes/Terraform.
  • 3+ years of work-related experience in professional software/data engineering role.
  • Excellent problem solving and debugging skills.
  • Strong interpersonal skills; able to work independently as well as in a team.
  • Experience in containerization and infrastructure as code:
  • Familiar with monitoring tools such as Prometheus, Grafana, Splunk and Datadog


Desirable

  • You have a strong commitment to development best practices and code reviews.
  • You believe in continuous learning, sharing best practices, encouraging and elevating less experienced colleagues as they learn.
  • Experience with data labelling, validation, provenance and versioning.


About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
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.
About the Team
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.

Top Skills

Python

JPMorganChase London, England Office

25 Bank Street, Canary Wharf, London, United Kingdom, E14 5JP

Similar Jobs at JPMorganChase

10 Days Ago
London, Greater London, England, GBR
Hybrid
289,097 Employees
Senior level
289,097 Employees
Senior level
Financial Services
The Data Engineer will design and deliver technology solutions, execute software solutions, maintain high-quality production code, and analyze and visualize data from large datasets to improve software applications and system performance. The role emphasizes collaboration within an agile team environment and contributions to diverse technical communities.
Be an Early Applicant
22 Hours Ago
London, Greater London, England, GBR
Hybrid
289,097 Employees
Mid level
289,097 Employees
Mid level
Financial Services
As an Applied AI/ML Senior Associate, you'll develop AI/ML solutions, engage with stakeholders, produce modeling solutions, and collaborate across teams to enhance workforce data strategy and analytics in a financial services context.
Be an Early Applicant
2 Days Ago
London, Greater London, England, GBR
Hybrid
289,097 Employees
Entry level
289,097 Employees
Entry level
Financial Services
The Data Owner - Client Data Domain Associate is responsible for managing client data quality, governance, and risk, supporting marketing initiatives. The role requires collaboration across various departments to ensure effective data utilization and compliance with regulatory controls while fostering relationships with stakeholders.

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account