Quantitative Trader / Researcher – EMEA

Trading Interview; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid working opportunities

Generous paid time off policies

In-office wellness experiences and gym

Job summary

Tower Research Capital, a leading quantitative trading firm with a global footprint, is seeking a Quantitative Trader/Researcher. You will design and deploy algorithmic trading strategies using Tower’s fast in-house systems, leveraging Python and C++ to analyze market data, test ideas, and refine models with a strong emphasis on rigor and scalability across asset classes.

Collaborate with trading and research teams in a results-driven environment that rewards rigorous experimentation, fast

Qualifications

• Bachelor's, master's or PhD in Mathematics, Statistics, Computer Science or equivalent STEM field.
• Experience in high-frequency or quantitative trading preferred but not required.
• Strong math and statistics background.
• Proficiency in back-testing, simulation, and statistical techniques.
• Solid data-mining and analysis skills with large tick data.
• Familiarity with signal generation and statistical models.
• Strong programming in Python and/or C++.

Responsibilities

• Design, implement, and deploy trading algorithms.
• Research high- to mid-frequency alphas.
• Analyze market data for patterns including market micro-structure and alternative data.
• Create tools to analyze data for patterns.
• Contribute to libraries of analytical computations for market data analysis and trading.
• Develop, augment, and calibrate exchange simulators.

Skills

Python

C++

Data analysis

Statistical methods

Education

Bachelor's degree in Mathematics, Statistics, Computer Science or equivalent STEM degree

PhD preferred

Tools

Back-testing frameworks

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 trading algorithms
• Researching high to mid frequency alphas
• Exploring trading ideas by analysing market data, market micro-structure and alternate data for patterns
• Creating tools to analyse data for patterns
• Contributing to libraries of analytical computations to support market data analysis and trading
• Developing, augmenting, and calibrating exchange simulators

Qualifications

• A bachelors, masters or PhD degree from a top-tier university in Mathematics, Statistics, Computer Science, or equivalent STEM degree
• Experience in high-frequency trading or quantitative trading is preferred but not a requirement
• A strong background in mathematics and statistics
• Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis)
• Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
• Familiarity with signal generation and statistical models
• Strong programming skills in Python and/or C++

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.

Tower Research Capital is a quantitative trading firm founded in 1998 by Mark Gorton. It builds technology and deploys automated trading strategies across a broad range of asset classes in…