VP, Research Engineering & Portfolio Systems — Greenwich

Tradermath

Greenwich, Northern (CT, KY)

Hybrid

USD 160,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Annual discretionary bonus
Comprehensive benefits package

Job summary

AQR Capital Management's Global Stock Selection QRD team seeks a strong software engineer to support research infrastructure and production systems. You will build scalable, AWS-based storage and compute, a generalized research platform, data ingestion/validation, model computation, and ML/NLP pipelines that enable researchers to turn ideas into production-ready strategies.

Ideal candidates bring 7+ years of production software experience, cloud-native design, and a collaborative mindset to

Qualifications

  • 7+ years of professional software engineering experience delivering production systems.
  • Experience building cloud-native applications, preferably AWS.
  • Experience designing data ingestion, processing pipelines and ML/AI applications.
  • Strong software architecture, performance, observability and reliability.
  • Proven ability to work in fast-paced, agile environments with evolving priorities.

Responsibilities

  • Build or extend scalable, AWS-based storage and computing infrastructure.
  • Develop a generalized research platform and data ingestion/validation engine.
  • Implement model computation and signal generation pipelines.
  • Create ML/NLP pipelines to support quantitative research.
  • Collaborate across researchers and engineers to deliver production systems.

Skills

Python
C++
AWS
Data pipelines
SQL
Machine learning
Big data
Software architecture
Linux
Communication

Education

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics

Tools

AWS

Job description

AQR Capital Management's Global Stock Selection QRD team seeks a strong software engineer to support research infrastructure and production systems. You will build scalable, AWS-based storage and compute, a generalized research platform, data ingestion/validation, model computation, and ML/NLP pipelines that enable researchers to turn ideas into production-ready strategies.

Ideal candidates bring 7+ years of production software experience, cloud-native design, and a collaborative mindset to

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