Quantitative Developer

P2P
City of London, United Kingdom
3 months ago
Applications closed

Related Jobs

View all jobs

KDB Developer

James Joseph Associates Broad Street, Greater London, City And County Of the City Of London, United Kingdom
£120,000 – £150,000 pa

Data Scientist

Randstad Technologies Recruitment London, United Kingdom

AI Engineer - FDE (Forward Deployed Engineer)

Databricks London, United Kingdom

Senior Machine Learning Data Scientist - Credit Risk

Martin Veasey Talent Solutions Northampton, Northamptonshire, United Kingdom
£80,000 – £120,000 pa Hybrid

Genomic Data Scientist in Rare Disease (we have office locations in Cambridge, Leeds & London)

Genomics England Canary Wharf, London, E14 5AB, United Kingdom
£55,000 – £100,000 pa
Posted
11 Feb 2026 (3 months ago)
About Us

Founded in 2013, GSR is a leading market-making and programmatic trading company in the fast-evolving world of cryptocurrency trading. With more than 200 employees in 5 countries, we provide billions of dollars of liquidity to cryptocurrency protocols and exchanges daily. We build long-term relationships with cryptocurrency communities and traditional investors by offering exceptional service, expertise, and trading capabilities tailored to their specific needs.

GSR works with token issuers, traders, investors, miners, and over 30 cryptocurrency exchanges worldwide. In volatile markets, we are a trusted partner to crypto-native builders and those exploring the industry for the first time.

Our team of veteran finance and technology executives from Goldman Sachs, Two Sigma, and Citadel, among others, has developed one of the world’s most robust trading platforms designed to navigate issues unique to the digital asset markets. We have continuously improved our technology, allowing our clients to scale and execute their strategies with the highest level of efficiency.

Working at GSR offers the opportunity to be deeply embedded in every major sector of the cryptocurrency ecosystem.

About the Role

Deliver high-performance trading systems in Rust that directly drive strategy execution and profitability. Enable traders and researchers to operate at scale by building robust infrastructure, analytics tools, and automation. Shape the architecture behind live trading, reduce latency, and solve complex real-time challenges in collaboration with a high-calibre, cross-functional team.

Responsibilities
  • Design, develop, and maintain a low-latency trading system in Rust.
  • Collaborate with traders, engineers, and quants to design and implement trading strategies within market-making, prop, and OTC.
  • Build new tools/infrastructure to facilitate research; e.g., analytics and optimization.
  • Automate the deployment and monitoring of trading strategies.
  • Troubleshoot and resolve technical issues in real-time.
Your Profile
  • Minimum of one year experience developing in Rust; will be tested.
  • Familiarity with core trading strategies (e.g., market-making, arbitrage, execution).
  • Strong understanding of algorithms and data structures, as well as quant finance concepts: limit-order books, market microstructure, pricing.
  • Experience with real-time data processing, IPC/shared-memory architectures, and low-allocation/zero-copy design.
  • A Bachelor\'s degree (minimum) or PhD (preferred) in Computer Science, Mathematics, Physics, or a related field.
  • Prior experience in high-frequency trading, market-making, or other electronic trading environments is a strong advantage but not required.
What We Offer
  • A collaborative and transparent company culture founded on Integrity, Innovation, and Performance.
  • Competitive Salary with two discretionary bonus payments a year.
  • Benefits such as Healthcare, Dental, Vision, Retirement Planning, 30 days holiday, and free lunches when in the office (benefits vary depending on employment location).
  • Regular Town Halls, team lunches, and drinks.
  • A Corporate and Social Responsibility program as well as charity fundraising matching and volunteer days.

GSR is proudly an Equal Employment Opportunity employer. We do not discriminate based upon any applicable legally protected characteristics such as race, religion, color, country of origin, sexual orientation, gender, gender identity, gender expression, or age. We operate a meritocracy; all aspects of people engagement from the decision to hire or promote as well as our performance management process will be based on the business needs and individual merit, competence in the role. Learn more about us at www.gsr.io.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.