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Goldman Sachs
Goldman Sachs

The Goldman Sachs Group, Inc

Global Banking & Markets, Systematic Trading Strategies (STS) Java Engineer, Associate/ Vice President, Singapore

职能机器学习
级别高管级
地点Singapore
方式现场办公
类型全职
发布1个月前
立即申请

必备技能

Python

Java

JavaScript

Machine Learning

What We Do

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Want to push the limit of digital possibilities? Start here.

Role Summary

The Systematic Trading Strategies (STS) is part of the Global Banking and Markets (GBM Public) and focuses on the development of rule-based indices and strategies and trading on global markets across Equities, Interest Rates, Credit, FX and Commodities. The indices and strategies are traded in various formats including OTC Swaps, certificates, notes and fund. Its main clients are institutional investors. The teams responsibilities cover a broad range of desk aligned business functions including trading automation, inventory management and client facing execution workflow. Technologies leveraged in the role include low latency Java, proprietary SecDB/Slang and JavaScript.

The ideal candidate will have extensive experience in designing, developing, and implementing complex software applications, and a strong background in computer science or a related field. The successful candidate will collaborate with sales, traders, strats and operations teams to develop innovative solutions to meet business needs and will be responsible for building and maintaining highly reliable and scalable systems.

Key Responsibilities:

  • Design, develop and maintain complex software systems and applications.
  • Collaborate with cross-functional business teams to gather requirements and define technical solutions.
  • Be involved with all stages of the software development life cycle with a range of technologies to support the underlying infrastructure and frameworks.
  • Develop and maintain software documentation, including design specifications, user guides and manuals.
  • Work closely with sales, trading and operations teams, support our automated trade booking and management systems.
  • Ensure the reliability, scalability, and performance of software systems.
  • Troubleshoot and debug complex software issues.

Basic Qualifications:

  • Bachelor’s/master’s degree or relevant work experience in Computer Science or related technical discipline.
  • Strong programming skills in an object oriented or functional paradigm, with strength in Java, Python and its core concepts.
  • Min. 3 years (for associate)/ 5 years (for VP) experience in implementing or supporting models, signals, pricing logic, or risk analytics in production platforms.
  • Experience in working directly with or alongside desk strats or trading teams, particularly in systematic, quantitative, or analytics‑driven environments.
  • Knowledge of data structures, algorithms, and designing for performance.
  • Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team.
  • Self-starter who can work with minimum guidance, ability to manage multiple priorities and work in a high-pressure environment.
  • Excellent written and verbal communication skills.

Preferred Qualifications:

  • Previous quantitative or technical role working on or with a derivatives market making desk (irrespective of asset class),
  • Knowledge of building automated systems involving large scale of data.
  • Experience with Secdb/Java/React/JavaScript
  • Familiarity with build/deployment/runtime tools e.g., Git, Gradle, Maven, Spring, Kubernetes
  • Experience with real-time systems/messaging infrastructures
    Experience working with large scale timeseries and dimensional data.

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., 2026. 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.

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关于Goldman Sachs

Goldman Sachs

The Goldman Sachs Group, Inc. is an American multinational investment bank and financial services company. Founded in 1869, Goldman Sachs is headquartered in the Battery Park City neighborhood of Manhattan in New York City, with regional offices in many international financial centers.

45,000+

员工数

Lower Manhattan

总部位置

$80B

企业估值

评价

2条评价

2.9

2条评价

工作生活平衡

2.5

薪酬

3.0

企业文化

2.0

职业发展

4.0

管理层

2.5

45%

推荐率

优点

Amazing career growth opportunities

Chill management at some locations

Work-life balance valued in certain roles

缺点

Toxic workplace culture

Codependent atmosphere

Confusing interview process

薪资范围

20,304个数据点

Junior/L3

VP

Junior/L3 · Data Scientist Analyst

0份报告

$146,500

年薪总额

基本工资

-

股票

-

奖金

-

$124,525

$168,475

面试评价

4条评价

难度

3.5

/ 5

时长

21-35周

体验

正面 0%

中性 75%

负面 25%

面试流程

1

Application Review

2

HR Screen/HireVue

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Decision

常见问题

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study