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Goldman Sachs

Quantitative Execution Services Research Associate

Hong Kong
Python C++ Java Slang KDB+ SQL
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Description

Global Banking & Markets, Quantitative Execution Services Research, Associate, Hong Kong

Location: Hong Kong

GLOBAL MARKETS

Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor.

Role Overview
We are looking for a Quantitative Researcher for our Quantitative Execution Services team to design and optimize algorithmic trading strategies through rigorous research, simulation, and performance analysis.

Key Responsibilities

  • Develop internalization logic to enhance execution quality and reduce market impact.
  • Create and refine trading signals using historical and real-time data.
  • Build and maintain back-testing frameworks; run simulations to test robustness.
  • Collaborate with Algo Developers, Strats, and Traders to deliver production-ready solutions.
  • Monitor live trading performance and identify improvement opportunities. 

Required Skills

  • Passion for solving complex, data-driven problems.
  • Strong programming in Python, C++, or Java; familiarity with Slang and KDB+ a plus.
  • Solid foundation in linear algebra, probability, and statistics.
  • Experience with data pipelines, debugging, and performance optimization.
  • Excellent communication skills to present findings and influence design.
  • Ability to work independently and in fast-paced, collaborative environments.
  • Experience in electronic trading, quantitative research, or strategy development.

Preferred Attributes

  • 1+ years in financial services or related domain.
  • Knowledge of market microstructure, execution algorithms, and quantitative modeling.
  • Familiarity with data science and machine learning techniques and frameworks.

 
ABOUT GOLDMAN SACHS

 
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. 

 
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. 

 
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

 
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
Colorado Job – EC & Lateral
Goldman Sachs
Goldman Sachs

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