Quant Tech Analyst: Market Microstructure & Algos

The Goldman Sachs Group; New York (NY); On-site; USD 110,000 - 125,000; Full time

Benefits offered by this job

Discretionary bonus

Job summary

The Goldman Sachs Group seeks a skilled Quant/Algo professional to innovate and maintain cross-asset market microstructure analytics. You will develop pre-trade, real-time monitoring and post-trade analytics infrastructure for internal and external audiences.

You will engage in product development, optimize algorithms, and collaborate with Sales and Trading to prepare client pitches. Strong Python and database experience are essential to empower scalable analytics in a fast-paced environment.

Qualifications

• Bachelors, Masters, or PhD required.
• Fluency in Python and experience with database languages such as KDB or SQL.
• Strong communication and project management skills.

Responsibilities

• Innovate and maintain cross-asset market microstructure analytics for client execution decisions.
• Develop pre-trade, real-time monitoring and post-trade analytics infrastructure for internal and external audiences.
• Product development and parameter optimization of existing and new Algos on both front-end and back-end.
• Work with Sales and Trading to prepare tailored pitches and speak to clients who execute Algos.
• Conduct execution strategy analysis and present results to internal and external audiences.
• Interact with clients to provide Execution Analysis and Market Color to optimize use of Algos.
• Work with 3rd party vendors to distribute Algo products and analytics via those channels.

Skills

Python

Project management

Interpersonal communication

Analytical thinking

Education

Bachelor's/Master's/PhD

Tools

KDB

SQL

Java

Job description

The Goldman Sachs Group seeks a skilled Quant/Algo professional to innovate and maintain cross-asset market microstructure analytics. You will develop pre-trade, real-time monitoring and post-trade analytics infrastructure for internal and external audiences.

You will engage in product development, optimize algorithms, and collaborate with Sales and Trading to prepare client pitches. Strong Python and database experience are essential to empower scalable analytics in a fast-paced environment.