Algorithmic Trading Researcher

TOWER RESEARCH CAPITAL (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 100,000 - 150,000; Full time

Job summary

Tower Research Capital seeks a Quantitative Trading Researcher to join our Singapore team. You will use our in-house trading platform to develop and deploy algorithmic strategies based on patterns in market behavior.

The role requires advanced degree and experience in quantitative trading, with strong skills in C++ and Python for back-testing, simulation, and data analysis. You will contribute to research, optimization, and live trading efforts in a fast-paced environment.

Qualifications

• Masters Degree in computing, statistics, mathematics or a related field from a top-tier university.
• At least one year of professional experience in quantitative trading, or relevant internship.
• Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis).
• Strong data-mining and analysis skills, including experience dealing with a large amount of data/tick data.
• Good experience with signal generation and statistical models.
• Strong programming skills in C++ and Python.

Responsibilities

• Designing, implementing, and deploying high-frequency trading algorithms.
• Exploring trading ideas by analyzing market data and market micro-structure for patterns.
• Creating tools to analyze data for patterns.
• Contributing to libraries of analytical computations to support market data analysis and trading.
• Developing, augmenting, and calibrating exchange simulators.

Skills

C++

Python

Data analysis

Back-testing

Statistical modeling

Education

Master's degree in computing/statistics/mathematics

Tools

Tick data handling

Job description

Tower Research Capital seeks a Quantitative Trading Researcher to join our Singapore team. You will use our in-house trading platform to develop and deploy algorithmic strategies based on patterns in market behavior.

The role requires advanced degree and experience in quantitative trading, with strong skills in C++ and Python for back-testing, simulation, and data analysis. You will contribute to research, optimization, and live trading efforts in a fast-paced environment.