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Goldman Sachs
Goldman Sachs

The Goldman Sachs Group, Inc

Software Engineer, Global Banking & Markets, Investment Banking

职能机器学习
级别中级
地点Dallas, Texas, United States
方式现场办公
类型全职
发布2个月前
立即申请

必备技能

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**.**

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Want to push the limit of digital possibilities? Start here.

Within our Global Banking & Markets business, Investment Banking (IB) works on some of the most complex financial challenges and transactions in the market today. Whether advising on a merger, providing financial solutions for an acquisition, or structuring an initial public offering, we handle projects that help clients at major milestones. We work with corporations, pension funds, financial sponsors, and governments and are a team of strong analytical thinkers with a passion for producing out-of-the-box ideas.

Within IB, our engineers are responsible for building next generation digital solutions and automation for banking that consists of a set of well-integrated platforms and allows us to serve our bankers and clients better.

Who We Look For

As part of our global team, you will work on various technologies and components as an application developer. Your role includes specification, development, as well as the testing and roll-out of new features focusing on code quality, automation, testability and security. You will be able to contribute to our vision, roadmap, and world-class engineering culture, while integrating business value and client experience within the team.

We expect a successful candidate to have excellent communication skills, deliver high quality software, and to be passionate about cutting edge engineering.

How You Will Fulfill Your Potential

  • Manage multiple tasks and use sound judgment when prioritizing.
  • Collaborate with global cross functional teams in building customer-centric products.
  • Utilize exceptional analytical skills and ability to apply knowledge and experience in decision-making to arrive at creative and commercial solutions.
  • Analyze existing software implementations to identify areas of improvement and provide deadline estimates for implementing new features.
  • Establish trusted partnerships with peers, product heads, and executive-level stakeholders.
  • Leverage technology to deliver business value.

Basic Qualifications

  • Advanced degree in Computer Science (or equivalent work experience).
  • Comfort with Agile operating models (practical experience of Scrum/Kanban).
  • Experience leveraging test-driven development methodologies.
  • Team oriented; strong interpersonal and communication skills.
  • Energetic, self-directed, and self-motivated.
  • Must be passionate about technology and engineering.
  • Must be independent and comfortable in a fast paced, ambiguous, and often multi-directional work environment.

Preferred Qualifications

  • 1-4 years of relevant professional experience using a modern programming language (preferably Java).
  • Experience in Financial Services or Fintech.
  • Experience with microservice architectures (SOA).
  • Experience with Kafka, MongoDB, Hadoop, Cassandra.
  • Experience with SQL databases (PostgreSQL/Oracle/Sybase).
  • Experience with AWS/Azure.

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.

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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