Quantitative Trader / Researcher - EMEA

Tower Research Capital; Amsterdam; Hybrid; EUR 140,000 - 210,000; Full time

Benefits offered by this job

Generous paid time off policies

Hybrid working opportunities

Free breakfast, lunch, and snacks daily

In-office wellness experiences

Company-sponsored sports teams

Volunteer opportunities

Social events

Learning opportunities

Job summary

A leading quantitative trading firm is seeking a Quantitative Trader/Researcher to develop and deploy trading algorithms using their in-house system. Candidates should possess a degree in Mathematics or related fields and strong programming skills in Python and/or C++. The role involves designing algorithms and analyzing market data for patterns. This firm values a collaborative culture and offers generous benefits including hybrid working opportunities and wellness experiences.

Qualifications

• Experience in high-frequency trading or quantitative trading is preferred but not a requirement.
• Familiarity with signal generation and statistical models.
• Experience with back-testing and statistical techniques
• Proficiency in Python and/or C++
• Experience dealing with large tick data

Responsibilities

• Designing, implementing, and deploying trading algorithms.
• Researching high to mid-frequency alphas.
• Exploring trading ideas by analyzing market data for patterns.
• Creating tools to analyze data for patterns.
• Contribute to libraries of analytical computations to support market data analysis and trading
• Develop, augment, and calibrate exchange simulators

Skills

Strong programming skills in Python and/or C++

Solid data-mining and analysis skills

A strong background in mathematics and statistics

Proficiency in back-testing, simulation, and statistical techniques

Back-testing

Data analysis

Data mining

Trading systems

HFT experience

Education

Bachelor's, Master's, or PhD in Mathematics, Statistics, Computer Science, or equivalent

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++

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 (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.