トレンド企業

Goldman Sachs
Goldman Sachs

The Goldman Sachs Group, Inc

Software Engineer | Associate | Birmingham | 2026

職種機械学習
経験新卒・ジュニア
勤務地Birmingham, West Midlands, United Kingdom
勤務オンサイト
雇用正社員
掲載2ヶ月前
応募する

必須スキル

Java

SQL

MongoDB

Machine Learning

MORE ABOUT THIS JOB

Please note division and function examples are representative of opportunities common for this skill-set. The list is not exhaustive, and availability of open roles is determined based on business need. Specific roles will be confirmed through the interview process.

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**.RESPONSIBILITIES**

As a software engineer, you are the change agents that transform Goldman Sachs by applying your technical know-how. Be a part of our embedded engineering teams, that work as a unit with our business partners. Collaborate with trading, sales, asset management, banking, finance and others, to build and automate solutions to keep our firm’s position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more.

Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your enthusiasm to take on new problems and learn will have an immediate impact.

HOW YOU WILL FULFILL YOUR POTENTIAL

Our team of engineers builds solutions to the most complex problems. We develop cutting-edge software and platforms that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to critical deal information and process billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field. This position provides a unique opportunity to gain subject matter expertise in both technology and finance.

This is a backend engineering role which will involve working across a variety of areas, primarily micro-service development in Java, Spring and interaction with MongoDB. You will ideally be familiar with distributed services, testing, system monitoring and reporting, and the complete SDLC process.

SKILLS AND EXPERIENCE WE ARE LOOKING FOR

  • Bachelor’s or master’s degree in computer science, engineering, or related field
  • 3+ years experience with Java, Spring & Non-SQL technologies such as MongoDB
  • Experience with micro-services, java deployments & Dev Ops tools such as Gitlab
  • Full understanding of software development lifecycle best practices
  • An ability to drive to goals and milestones while valuing and maintaining a strong attention to detail
  • Strong communication and documentation skills - both verbally and in writing to effectively interact with multiple people and global teams
  • Excellent judgment, analytical thinking, and problem-solving skills
  • Strong team player & experience working with global teams
  • Self-motivated individual that possesses excellent time management and organizational skills

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., 2025. 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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Goldman Sachsについて

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+

従業員数

Lower Manhattan

本社所在地

$80B

企業価値

レビュー

2件のレビュー

2.9

2件のレビュー

ワークライフバランス

2.5

報酬

3.0

企業文化

2.0

キャリア

4.0

経営陣

2.5

45%

知人への推奨率

良い点

Amazing career growth opportunities

Chill management at some locations

Work-life balance valued in certain roles

改善点

Toxic workplace culture

Codependent atmosphere

Confusing interview process

給与レンジ

20,304件のデータ

Junior/L3

VP

Junior/L3 · Data Scientist Analyst

0件のレポート

$146,500

年収総額

基本給

-

ストック

-

ボーナス

-

$124,525

$168,475

面接レビュー

レビュー4件

難易度

3.5

/ 5

期間

21-35週間

体験

ポジティブ 0%

普通 75%

ネガティブ 25%

面接プロセス

1

Application Review

2

HR Screen/HireVue

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Decision

よくある質問

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study