VP, Quant Developer - Equity Alpha

J.P. Morgan; New York (NY); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Comprehensive health care coverage

On-site health and wellness centers

Retirement savings plan

Tuition reimbursement

Mental health support

Financial coaching

More

Job summary

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

You will translate research into robust production processes and collaborate on research projects with other researchers. The role emphasizes building automated workflows, ML pipelines and end-to-end production systems, with strong Python skills, data engineering experience, and

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; 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 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

Multithreading

Communication

Project management

Research-to-production

ML pipelines

Education

Bachelors in CS or Engineering

Tools

SQL

NoSQL

Snowflake

ETL pipelines

AWS

Airflow

Git

Job description

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

You will translate research into robust production processes and collaborate on research projects with other researchers. The role emphasizes building automated workflows, ML pipelines and end-to-end production systems, with strong Python skills, data engineering experience, and