Quantitative Developer, C++ - Trading Teams EMEA

Tower Research Capital

Greater London

Hybrid

GBP 70,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Generous paid time off
Savings plans
Hybrid working opportunities
Free meals daily
Wellness reimbursements
Company-sponsored sports teams
Volunteer opportunities
Continuous learning workshops
Continuous learning opportunities

Job summary

A leading proprietary trading firm in London is seeking a Quant Developer to enhance its trading strategies. The role includes developing a low-latency high-frequency trading platform and supporting the quantitative research team. Ideal candidates will possess a degree in Computer Science or related fields, have strong C++ programming skills, and exceptional problem-solving abilities. The firm promotes a collaborative culture with generous benefits, including hybrid working opportunities, wellness programs, and professional development.

Qualifications

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

Responsibilities

  • Design and implement a low latency high-frequency trading platform.
  • Assist in the development of a tick by tick backtesting research platform.
  • Optimize computational efficiency of existing machine learning algorithms.
  • Create tools for data analysis that support research decisions.
  • 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

Skills

Data structures
Algorithms
Object-oriented programming in C++
Problem-solving
Communication skills
Python
Financial markets experience

Education

Bachelor's, Master's or PhD in Computer Science, Engineering, or related field
Masters or PhD preferred

Tools

Python
C++

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.

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.

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