JPMorgan Chase - New York, NY

posted about 2 months ago

Full-time - Entry Level
New York, NY
Credit Intermediation and Related Activities

About the position

The Data and Analytical Solutions team is responsible for coordinating the firm's interest rate risk management framework, conducting industry-leading research on deposits and money flow, and optimizing the firm-wide balance sheet. As a Data & Analytics Solutions Engineer - Associate, you will play a crucial role in supporting the creation of state-of-the-art solutions for the Investment Portfolio and Asset Liability Management group. This position involves designing and developing end-to-end analytical solutions and subcomponents, including data engineering pipelines, Python libraries, REST APIs, and dashboards. You will also participate in applying modern software engineering practices to architect and build a public cloud-native analytics platform. In this role, you will assist in gathering user requirements from Portfolio Managers and Strategists, facilitating the use of resulting models and systems across multiple lines of business. This includes training inexperienced users and hosting informational teaching sessions on the use of analytical toolkits and internal quantitative models. Additionally, you will consult on the application of modern data science and machine learning techniques to various business initiatives, ensuring that the solutions developed are not only effective but also aligned with the firm's strategic goals.

Responsibilities

  • Design and develop end-to-end analytical solutions and subcomponents such as data engineering pipelines, Python libraries, REST APIs, and dashboards.
  • Participate in the application of modern software engineering practices to architect and build a public cloud-native analytics platform.
  • Assist in the collection of user requirements from Portfolio Managers and Strategists.
  • Facilitate the use of resulting models and systems across multiple lines of business, including training inexperienced users and hosting informational teaching sessions on the use of analytical toolkits and internal quantitative models.
  • Consult on the application of modern data science and machine learning to business initiatives.

Requirements

  • 3+ years of industry experience and proven track record of leading a team in designing, building, and deploying production-grade software in the finance domain.
  • Prior exposure to accounting standards and fixed income products.
  • Education/Experience in Computer Science, Engineering, and/or Data Science related discipline.
  • Strong problem-solving skills and ability to transform practices into more efficient solutions/system/processes.
  • Familiarity with building and hosting images and using container orchestration frameworks.
  • A strong interest in the finance/banking industry.

Nice-to-haves

  • Proficiency in at least one high-level programming language like Python (preferred).
  • Additional experience in front-end development using JavaScript / TypeScript is preferred.
  • Knowledge and experience in cloud architecture and solutions deployment - preferably using tools like Jenkins, Terraform, Kaniko, and Spinnaker.
  • Experience with full-stack development is preferred.
  • Experience with data science practices is preferred: regression, classification, clustering simulation, scenario analysis, optimization, etc.

Benefits

  • Comprehensive health care coverage
  • On-site health and wellness centers
  • Retirement savings plan
  • Backup childcare
  • Tuition reimbursement
  • Mental health support
  • Financial coaching
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service