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6,072

Talent jobs in United Kingdom

EMEA Graduate Quantitative Trader/Researcher 2026 Tower Research Capital London, United Kingd[...]

Tradermath

City of London
Hybrid
GBP 80,000 - 120,000
30+ days ago
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Platform Engineer

Ascendion, Inc.

Chester
Hybrid
GBP 50,000 - 70,000
30+ days ago

Influencer Marketing Executive

Katkin

City of London
Hybrid
GBP 32,000 - 39,000
30+ days ago

Principal Power Systems Design Engineer

Advance Training & Recruitment Services

North East
Hybrid
GBP 75,000 - 90,000
30+ days ago

GTM Talent Recruiter - Hybrid (London) for Revenue Growth

Swap Commerce Limited

City of London
Hybrid
GBP 50,000 - 70,000
30+ days ago
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Business / GTM Recruiter

Swap Commerce Limited

City of London
Hybrid
GBP 50,000 - 70,000
30+ days ago

Surgical Sales Specialist

Hologic Inc.

City of London
On-site
GBP 60,000 - 80,000
30+ days ago

Legal Counsel, Business Development and Alliance Management

Mundipharma International

City of London
On-site
GBP 50,000 - 75,000
30+ days ago
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Senior AI Product Manager

AnaVation LLC

Manchester
Hybrid
GBP 84,000 - 126,000
30+ days ago

Quantitative Developer, Python - Trading Teams EMEA Tower Research Capital London, United Kin[...]

Tradermath

City of London
Hybrid
GBP 80,000 - 120,000
30+ days ago

People Operations Specialist

Amdaris Group

Bristol
On-site
GBP 30,000 - 45,000
30+ days ago

Heating & Plumbing Engineer (IMS)

hometree.co.uk

Sheffield
On-site
GBP 22,000 - 28,000
30+ days ago

Tech Talent Scout & Community Builder

G-Research

City of London
On-site
GBP 60,000 - 80,000
30+ days ago

Paralegal [M&A]

Compre Group

City of London
Hybrid
GBP 30,000 - 40,000
30+ days ago

Solar Sales Consultant

hometree.co.uk

Sheffield
On-site
GBP 80,000 - 100,000
30+ days ago

Account Executive - Mid Market Revenue London

Perkbox

City of London
On-site
GBP 40,000 - 60,000
30+ days ago

HR and Resourcing Co-ordinator

Priory Group

Burgess Hill
On-site
GBP 24,000
30+ days ago

Senior Python Software Developer - Backend

Xelix

City of London
On-site
GBP 60,000 - 80,000
30+ days ago

Senior Mechanical Design Engineer - Water Industry

RPS

City of London
On-site
GBP 50,000 - 70,000
30+ days ago

Business Change Project Manager

Linklaters

City of London
On-site
GBP 60,000 - 80,000
30+ days ago

Nuclear Technical Engineer

Amentum Services, Inc.

City of London
Hybrid
GBP 100,000 - 125,000
30+ days ago

WGPT - Marketing Manager

NorthMark Strategies LLC

East Hagbourne
Hybrid
GBP 50,000 - 70,000
30+ days ago

Client Relationship Manager, Healthcare & Life Sciences

Linklaters

City of London
Hybrid
GBP 50,000 - 70,000
30+ days ago

Sales Associate H&N - South West & South Central

Stryker Corporation

Bristol
On-site
GBP 30,000 - 40,000
30+ days ago

Legal Counsel

Rolls Royce SMR Ltd.

Manchester
Hybrid
GBP 66,000 - 87,000
30+ days ago

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EMEA Graduate Quantitative Trader/Researcher 2026 Tower Research Capital · London, United Kingd[...]
Tradermath
City of London
Hybrid
GBP 80,000 - 120,000
Full time
30+ days ago

Job summary

A leading quantitative trading firm in London seeks a Quantitative Trader / Researcher to develop and deploy algorithmic trading strategies. Ideal candidates will have a Master’s degree or PhD in a relevant field, strong skills in Python and C++, and a passion for innovative technologies. The position offers a collaborative culture and excellent benefits, including generous paid time off and hybrid working opportunities.

Benefits

Generous paid time off
Hybrid working opportunities
Free breakfast, lunch, and snacks daily
Wellness reimbursement
Continuous learning opportunities

Qualifications

  • Master's and/or PhD in mathematics, statistics, or related fields.
  • Strong background in Python and C++.
  • Ability to manage multiple tasks in a fast-paced environment.

Responsibilities

  • Design and implement high or mid-frequency trading algorithms.
  • Analyze market data for trading strategies.
  • Create tools for data pattern analysis.

Skills

Python
C++
Problem-solving abilities
Data analysis

Education

Master’s and/or PhD in relevant fields
Job description

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.

As a member of one of Tower’s trading teams, a Quantitative Trader / Researcher will be using Tower’s in-house trading system—one of the fastest and most comprehensive in the world—to develop and deploy algorithmic trading strategies based on patterns in market behavior.

Responsibilities
  • Designing, implementing, and deploying high or mid-frequency trading algorithms
  • Working with a dedicated mentor to research and enhance existing trading strategies
  • Exploring trading ideas by analyzing market data.
  • Creating tools to analyze data for patterns
  • Contributing to libraries of analytical computations to support market data analysis and trading
Qualifications
  • A Master’s and/or PhD in mathematics, statistics, physics, electrical engineering, computer science, data science, financial engineering, or related fields
  • A strong background in Python, C++
  • Strong problem-solving abilities
  • A passion for new technologies and ideas
  • The ability to manage multiple tasks in a fast-paced environment

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 (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
  • 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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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