Junior Quant Trader - Algos, Data & Low-Latency Dev (Hybrid)

Tower Research Capital

Singapore

On-site

SGD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Generous PTO

Savings plans

Hybrid work

Free meals

Wellness reimbursement

Sports & fitness events

Volunteer opportunities

Social events and learning

Job summary

Tower Research Capital is a leading quantitative trading firm with a strong focus on high-performance trading systems and research. Engineers work on low-latency trading infrastructure, data platforms, and advanced analytics to identify market opportunities.

The role emphasizes collaboration in a technical environment, back-testing, and ML-driven research. A Masters or PhD in a STEM field and strong programming in Python/C++ are preferred, with opportunities to contribute to top-tier global

Qualifications

Advanced degree in mathematics, statistics, computer science, or a related STEM field.
Strong foundation in mathematics and statistics.
Experience with back-testing, simulation, and data analysis.
Familiarity with signal generation, statistical models, and ML workflows.
Proficiency in Python and C++ for quantitative research and production code.

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