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Software Engineering Full-Time Campus Hire - London

Two Sigma

City Of London

On-site

GBP 35,000 - 60,000

Full time

4 days ago
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Job summary

A financial sciences company is seeking a Software Engineer to build innovative solutions in a tech-driven environment. Responsibilities include developing infrastructure for mission-critical systems, using various programming languages, and ensuring reliability. Applicants with a degree in a technical field and strong programming skills are encouraged to apply.

Qualifications

  • Experience in large-scale systems.
  • Exceptional programming skills.
  • Strong analytical, organizational, and interpersonal skills.

Responsibilities

  • Build the underlying infrastructure for the engineering team.
  • Ensure reliability of mission critical products and systems.
  • Use tools to build environments for testing and deploying models.
  • Maintain low-latency, high-performance infrastructure for executing trades.
  • Scale the infrastructure for ingesting data from multiple sources.
  • Develop tools for increasing productivity and efficiency.

Skills

Analytical skills
Programming (Java, C, C++, Python, Ruby, Perl)
Problem-solving
Interpersonal skills

Education

Bachelor’s, Master’s, or PhD in a technical or quantitative field
Job description
Position Summary

Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, securities, private equity, and venture capital.

Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world’s most complex economic problems.

Technology drives our business — it's our main advantage — and software engineers play a pivotal role.

Software engineers at Two Sigma focus on analysis, experimentation, design, and elegant implementation. They build the scalable tools the organization needs to explore data's possibilities and act on our findings – to mine the past and attempt to predict the future.

As a Two Sigma engineer, you'll champion the rigorous, collaborative, scientific approach that allows us to meet business needs. You'll join a forward-looking, future-reaching organization to build software that will scale with the company. You'll have opportunities to learn from others and share your expertise.

We attract engineers with a real passion for data. We seek individuals who want to build for today and invent for tomorrow. We value curiosity and insight, balanced with pragmatism and practicality. We recognize both the small steps, as well as the broad vision.

As a student, you will be hired into a general Software Engineering role and matched to a specific team 2-3 months before you start.

Responsibilities
  • Building the underlying infrastructure that virtually every other engineering team at Two Sigma uses, such as our distributed storage and public and private cloud environments.
  • Ensuring the reliability of “mission critical” products and systems vital to Two Sigma, such as our main trading system.
  • Using a suite of open source and proprietary tools to build the environments that test and deploy our quantitative strategies, also known as models.
  • Building and maintaining the low-latency, high-performance infrastructure and systems responsible for executing trades.
  • Building and scaling the infrastructure used to ingest data from 10,000+ sources daily.
  • Partnering with our Corporate teams to develop tools, systems and products responsible for increasing productivity and efficiency across the organization.
Qualifications
  • A Bachelor’s, Master’s, or PhD degree in a technical or quantitative field.
  • Experience with Java, C, C++, Python, Ruby, Perl, or other languages that target the JVM.
  • Experience in large-scale systems.
  • Exceptional programming skills.
  • Strong analytical, organizational, and interpersonal skills.
  • A passion of building quality software.
  • We are open‑minded in our search for critical thinkers who are passionate about technology. While we analyze the data‑rich domain of finance, financial experience is not a requirement.
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