Embedded Quant Developer: Production Macro Data Systems

Delmar Nord; Boston (MA); On-site; USD 140,000 - 230,000; Full time

Job summary

Research Data Systems in Boston is seeking an embedded Quant Developer to join a newly formed macro strategy team. You will build and own data systems that feed signals for position sizing, trade generation, and live monitoring, interfacing directly with quantitative researchers and the PM.

You will convert ad-hoc, Excel-based workflows into robust production systems and collaborate with researchers to design new proofs of concept for analytics, monitoring, and trading across the desk.

Qualifications

• Advanced Python skills and experience with the modern data stack (pandas, SQL; Databricks/Spark a plus).
• 3+ years of experience building data intensive applications or systems.
• Strong data modeling and data architecture practices; own the data and systems that feed live trading strategies.
• A data-correctness temperament and ability to dig into root causes before fixing.
• Strong written and verbal communication; interfaces directly with PMs and researchers.

Responsibilities

• You'll build and own point-in-time data systems for a new Macro strategy and the research-to-production pipeline.
• You'll convert ad-hoc, Excel-based workflows into scalable, production-quality systems.
• You'll collaborate with researchers to design new proofs of concept and prototypes across research, analytics, monitoring, and trading.

Job description

Research Data Systems in Boston is seeking an embedded Quant Developer to join a newly formed macro strategy team. You will build and own data systems that feed signals for position sizing, trade generation, and live monitoring, interfacing directly with quantitative researchers and the PM.

You will convert ad-hoc, Excel-based workflows into robust production systems and collaborate with researchers to design new proofs of concept for analytics, monitoring, and trading across the desk.