Fullstack Developer

Wehrtyou; Greater London; On-site; GBP 131,000 - 188,000; Full time

Job summary

Hudson River Trading (HRT) is seeking Fullstack Developers to work on our platform or acceleration teams. You’ll build backend data ingests, analytics, and real-time UIs for traders and researchers, collaborating with algo teams and traders across the stack.

You’ll be evaluated on Python backend skills and React/TypeScript frontend work, with two technical interviews and onsite alignment discussions. A competitive compensation and benefits package await.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience with Python and React.
• Experience with JavaScript or TypeScript.
• Strong verbal and written communication skills.
• Ability to work independently and collaborate across teams.
• Ability to explain technical topics to both technical and non-technical stakeholders.
• Curiosity and drive to improve complex systems.
• Willingness to own projects end-to-end.

Responsibilities

• Work on in-house distributed-compute framework at large scale for multiple teams, especially algo teams.
• Build backend processes and UIs for traders to oversee trading, assess risk, and research improvements.
• Partner with senior technical and non-technical users from inception to delivery and ongoing support.
• Architect web-based tooling using React and Python to provide insights and real-time actions.

Skills

Python

React

JavaScript/TypeScript

Communication

Independent work

Team collaboration

Education

Bachelor's degree in Computer Science or Engineering

Job description

Fullstack Developers at HRT work either on our platform team (i.e. you work on infrastructure & tooling that supports all of our research & trading capabilities) or our acceleration team (i.e. you are aligned with a specific algo research & trading team). All of our Fullstack Developers have internal customers and deeply understand end-user needs. They build backend processes to ingest and transform vast quantities of data, and UIs to visualize and action that data quickly.

Responsibilities

• Work on our in-house distributed-compute framework designed for execution on a large scale within HRT's compute cluster. This framework serves various teams, with our algo teams being the primary users, particularly for training complex models.
• Work closely with our Algo Developers and traders, building backend processes and UIs for them to oversee trading processes, execute manual trades, assess risk, and research improvements to our strategies.
• Work closely with a variety of senior technical and non-technical users and own projects end-to-end, from inception to gathering and refining requirements, forming and executing a structured plan, and managing ongoing support and iterations to the initial plan.
• Architect web-based tooling to provide insights and enable real-time actions using financial data, operational data, trading activity, and more using React and Python.

The interview process will evaluate your backend programming skills (primarily Python), and your experience working in JavaScript/TypeScript on a modern web framework (React skills are required!). It is important that you are excited about and comfortable with working on both sides of the stack. All fullstack candidates will go through the same assessment & two technical phone interviews. We will start team alignment discussions if (when!) you get to onsite. To learn more about interviewing for technical and engineering roles at HRT, see this blog!

Profile

• Bachelor's degree in Computer Science, Engineering, or a related field
• Experience working with Python and React
• Experience working with JavaScript or TypeScript
• Strong verbal and written communication skills
• Excellent multitasking and time management skills
• Ability to work independently and collaborate across teams
• Ability to look at a technical system, understand how it works, and identify how to make it better
• Ability to explain complicated topics to both technical and non-technical stakeholders
• Driven by curiosity
• Thrives within a team that consistently challenges you to improve the ecosystem around you

The estimated base salary range for this position is 175,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Culture

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.

At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We're a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization - from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we're friends and colleagues - whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.

Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we'd love to get to know you.

Please be advised: Use of AI tools by an applicant during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used by an applicant during an interview or an assessment, we reserve the right to immediately end the interview or assessment, disqualify the applicant’s candidacy and/or rescind any job offers extended.

You can review our Global Applicant Privacy Notice, which explains how we process applicant information.