Quantitative Developer, C++ - Trading Teams EMEA

Tower Research Capital
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Quantitative Developer

Quantitative Developer

Quantitative Developer

Quantitative Developer, Counterparty Credit Risk, AVP

Quantitative Developer, Counterparty Credit Risk, AVP

Quantitative Developer

Quantitative Developer, C++ - Trading Teams EMEA

Join to apply for the Quantitative Developer, C++ - Trading Teams EMEA role at Tower Research Capital

Quantitative Developer, C++ - Trading Teams EMEA

Join to apply for the Quantitative Developer, C++ - Trading Teams EMEA role at Tower Research Capital

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.

Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization.

Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance.

At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best.

At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.

Description

Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Quant Developer to join one of its trading teams in London. You will be joining the EMEA Development team and as a Quant Developer, you will be in charge of improving the current research framework through the development of existing and new tools, and provide close day-to-day support to the quantitative research team on-site.

Responsibilities

  • Designing and implementing a low latency high-frequency trading platform
  • Assisting in the development of a tick by tick backtesting research platform
  • Assisting in development and optimizing large-scale parallel computation problems that requires large quantities of data shared across resources
  • Optimizing the computational efficiency of existing machine learning based algorithms to drive higher performance and faster learning rates
  • Developing systems, interfaces and tools to historical market data and trading simulations that increase research productivity
  • Creating tools to analyze data and generate insights that research decisions are based on

Qualifications

  • Bachelor's, Masters or PhD in Computer Science, Engineering, or a related field (or equivalent practical experience)
  • A strong background in data structures, algorithms, and object-oriented programming in C++
  • Brilliant problem-solving abilities
  • The ability to manage multiple tasks in a fast-paced environment
  • Strong communication skills
  • Python and/or financial markets experience is preferred but not required

Benefits

Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world.

At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.

Our benefits include:

  • Generous paid time off policies
  • Savings plans and other financial wellness tools available in each region
  • Hybrid working opportunities
  • Free breakfast, lunch, and snacks daily
  • In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
  • Company-sponsored sports teams and fitness events
  • Volunteer opportunities and charitable giving
  • Social events, happy hours, treats, and celebrations throughout the year
  • Workshops and continuous learning opportunities

At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together.

Tower Research Capital is an equal opportunity employer.Seniority level

  • Seniority levelEntry level

Employment type

  • Employment typeFull-time

Job function

  • Job functionFinance and Sales

Referrals increase your chances of interviewing at Tower Research Capital by 2x

Sign in to set job alerts for “Quantitative Developer” roles.

London, England, United Kingdom 2 weeks ago

Junior Quantitative Developer/Researcher - Up to £120k Base + Huge Bonus

Greater London, England, United Kingdom 4 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 11 months ago

London, England, United Kingdom 2 months ago

London, England, United Kingdom 20 hours ago

London, England, United Kingdom 6 months ago

Greater London, England, United Kingdom 4 days ago

Quantitative Developer, Systematic Equities

Greater London, England, United Kingdom 2 weeks ago

Quantitative Developer - Electronic TradingQuant Developer - shape systematic trading

London, England, United Kingdom 1 week ago

Quantitative Developer - Equity Trading - Quant Hedge Fund - £300kQuantitative Research, Exotics & Hybrids (Emerging Markets) - Analyst or Associate

London, England, United Kingdom 1 day ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 11 months ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom 1 week ago

Graduate Software Developer / Quantitative Developer / Quantitative Researcher - Up to £170,000 + Bonus + PackageQuantitative Researcher - Systematic Equities

London, England, United Kingdom 3 weeks ago

Quantitative Researcher, Systematic Equities

Greater London, England, United Kingdom 6 days ago

New Trading Team's 1st C++ Quant Developer | HFT

London, England, United Kingdom 7 months ago

London, England, United Kingdom 1 month ago

Quantitative Developer, Systematic Equities

Greater London, England, United Kingdom 6 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#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.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.