Junior Quantitative Trader / Researcher

Tower Research Capital; Singapore; On-site; SGD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid working opportunities

Free breakfast, lunch and snacks daily

Wellness expense reimbursement

Company-sponsored sports teams and фит

Job summary

Tower Research Capital is a leading quantitative trading firm founded in 1998. Our engineers design and deploy trading algorithms, research high-to-mid frequency alphas, and build data platforms for pattern discovery.

We value strong math and statistics, Python and C++, back-testing and data-mining, and collaboration in a technical environment. Tower offers a global platform, hybrid working, and rich learning opportunities.

Qualifications

• Masters or PhD in Mathematics, Statistics, Computer Science or equivalent STEM degree.
• Experience in quantitative trading is preferred but not required.
• Strong background in mathematics and statistics.
• Proficiency in back-testing, simulation.
• Solid data-mining and analysis skills, including experience dealing with large data/tick data, machine learning.
• Familiarity with signal generation and statistical models.
• Familiar with AI agents and AI workflow.
• Strong programming skills in Python and C++.
• Willingness to work in a collaborative, technical environment.

Responsibilities

• Designing, testing, implementing and deploying trading algorithms.
• Researching high to mid frequency alphas.
• Exploring trading ideas by analyzing market data, market microstructure and alternate data for patterns.
• Creating tools to analyze data for patterns and developing data platforms.
• Contributing to libraries of analytical computations to support market data analysis and trading.
• Developing, augmenting and calibrating exchange simulators.

Skills

Python

C++

Data analysis

Machine learning

Statistical modeling

Back-testing

Collaboration

Education

Masters or PhD in Mathematics/Statistics/CS or STEM

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.

Responsibilities

• Designing, testing, implementing and deploying trading algorithms
• Researching high to mid frequency alphas
• Exploring trading ideas by analyzing market data, market microstructure and alternate data for patterns
• Creating tools to analyze data for patterns and developing data platforms
• Contributing to libraries of analytical computations to support market data analysis and trading
• Developing, augmenting and calibrating exchange simulators

Qualifications

• A Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree
• Experience in quantitative trading is preferred but not a requirement
• A strong background in mathematics and statistics
• Proficiency in back-testing, simulation
• Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data, machine learning
• Familiarity with signal generation and statistical models
• Familiar with AI agents and AI workflow
• Strong programming skills in Python and C++
• Willingness to work in a collaborative, technical environment

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.