VP Quantitative Developer - Equities & ML Pipelines

JPMorgan Chase & Co.; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

JPMorgan Chase & Co. in New York invites applications for a Quantitative Developer/Engineer who will design, develop, deploy and operate data pipelines and quant applications to support alpha generation for asset management clients.

You will help implement the U.S. Disciplined Core Equity research agenda, enhance production processes, and collaborate with researchers on advanced ML pipelines that can be deployed in production environments.

Qualifications

• 3+ years of experience in relevant fields.
• Degrees in Computer Science or Engineering.
• Proficiency in Python programming, including multithreading and multiprocessing; database management across SQL, NoSQL, and Snowflake; familiarity with ETL pipelines; and experience architecting applications within AWS.
• Familiarity with Git-based version control and collaborative software development workflows.
• Experience with Airflow or similar workflow orchestration tools for production data pipelines.
• Statistics and finance knowledge, especially within equity asset management, quantitative equity investing, or portfolio construction.
• Good communication and project management skills.
• Experience in building sophisticated automated processes and technology infrastructure.

Responsibilities

• Lead the management of production processes and daily communication with technology team to ensure production pipeline is functioning as expected
• Translate research models into production processes
• Automate generation of reports for portfolio managers
• Enhance the efficiency of the research processes such as improving alpha model estimation and optimized backtesting pipeline
• Onboard new data sets and conduct exploratory analysis and manage existing data sets used in research
• Lead development of highly sophisticated end-to-end ML pipelines in research, which can be deployed in production environment easily
• Conduct research projects in quantitative equity investment

Skills

Python programming

Multithreading & multiprocessing

SQL

NoSQL

ETL pipelines

AWS

Git version control

Airflow

Statistics & finance knowledge

Communication skills

Project management

Automation of processes

Education

Bachelors in Computer Science or Engineering

Tools

Snowflake

Git-based workflows

Job description

JPMorgan Chase & Co. in New York invites applications for a Quantitative Developer/Engineer who will design, develop, deploy and operate data pipelines and quant applications to support alpha generation for asset management clients.

You will help implement the U.S. Disciplined Core Equity research agenda, enhance production processes, and collaborate with researchers on advanced ML pipelines that can be deployed in production environments.