Senior Quantitative Developer, Equities & ML Pipelines

Next Frontier Capital; New York (NY); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Health care

On-site wellness

Retirement plan

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase's Asset & Wealth Management division seeks a Quantitative Developer/Engineer to design, deploy, and operate data pipelines and quant applications that impact alpha generation for asset management clients. You will help implement the research agenda of the U.S.

Disciplined Core Equity group and collaborate with researchers. The role emphasizes translating research into production, building end-to-end ML pipelines, and onboarding new data sources while maintaining production-grade

Qualifications

• 3+ years of experience in relevant fields.
• Degrees in Computer Science or Engineering.
• Proficiency in Python with multiprocessing and AWS.
• Experience with SQL/NoSQL and ETL pipelines.
• Familiarity with Git workflows.
• Experience with Airflow.
• Knowledge of statistics and finance.
• Strong communication and project management skills.
• Experience building production data pipelines.

Responsibilities

• Lead production pipeline management and coordinate with technology teams.
• Translate research models into production processes.
• Automate report generation for portfolio managers.
• Improve alpha model estimation and backtesting pipelines.
• Onboard new data sets and manage existing data sets.
• Lead development of end-to-end ML pipelines for production.
• Conduct quantitative equity research projects.

Skills

Python

Multithreading

SQL/NoSQL

Snowflake

ETL pipelines

AWS

Git

Airflow

ML

Finance knowledge

Communication

Project management

Education

CS/Engineering degree

Tools

Git

Airflow

Snowflake

AWS

Job description

JPMorgan Chase's Asset & Wealth Management division seeks a Quantitative Developer/Engineer to design, deploy, and operate data pipelines and quant applications that impact alpha generation for asset management clients. You will help implement the research agenda of the U.S.

Disciplined Core Equity group and collaborate with researchers. The role emphasizes translating research into production, building end-to-end ML pipelines, and onboarding new data sources while maintaining production-grade