Quant jobs / Goldman Sachs

Quantitative Enablement Platform Engineer

A senior platform engineering role building the shared research environment that quantitative researchers and traders use. The aim is to shorten the path from a research idea to a live strategy.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Build backtesting, experiment tracking and feature-store capabilities for researchers
Run distributed pipelines over very large market and alternative datasets
Provide compute for large simulations
Add AI-assisted workflows on top of quantitative datasets
Own reliability, testing and monitoring of the research platform

What they ask for

Required

Large-scale distributed systems
Python, Java, Scala or C++
Cloud-native architecture
Data-intensive or streaming applications
Curiosity about markets and data
Collaboration with researchers and traders

Preferred

Quantitative trading or market structure experience
Machine learning or generative AI platforms
High-performance computing and real-time analytics
ClickHouse, Databricks, lakehouse or time series stores
Advanced degree in a quantitative subject

Education: Advanced degree in a quantitative discipline preferred, not required
Experience: 8+ years building and running large distributed systems
Languages and tools: Python
Java
Scala
C++

How to prepare

Build a small backtesting pipeline over a few years of tick or minute data in a columnar store
Learn Kafka and Spark streaming basics with market-style data
Study how feature stores and experiment tracking work for ML research
Read about time series databases such as ClickHouse and kdb+

What to study

The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Goldman Sachs’s site before applying: requirements, location and pay can change after we check them.

View the posting on Goldman Sachs’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Goldman Sachs and doesn’t handle applications.