Software Engineer

TOWER RESEARCH CAPITAL (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading quantitative trading firm in Singapore seeks a Software Developer to implement low-latency C++ code for high-frequency trading strategies. Candidates should have a Bachelor’s degree in computing or related fields, with at least 3 years of C++ experience and familiarity with trading systems. The role involves designing trading platforms and optimizing algorithms. Excellent problem-solving and communication skills in English are essential.

Qualifications

• At least 3 years of practical experience with C++.
• Some meaningful experience with Python.
• Experience with finance/trading systems and order books.

Responsibilities

• Design and implement a low latency high-frequency trading platform.
• Assist in the development of a tick by tick backtesting research platform.
• Optimize computational efficiency of existing algorithms.

Skills

C++

Python

Problem-solving

Communication skills (English)

Education

Bachelor's Degree in computing, statistics, mathematics or related field

Tools

Linux

SQL

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 Research Capital seeks a Software Developer to work directly with Quants and Traders in one of our trading teams in Singapore to implement cutting‑edge, low‑latency C++ code for various strategies and components of the team’s high‑frequency, high‑throughput production trading and research system.

Responsibilities

• Designing and implementing a low latency high-frequency trading platform, which includes collecting quotes and trades from and disseminating orders to exchanges around the world
• Assisting in the development of a tick by tick backtesting research platform
• Assisting in development and optimizing large-scale parallel computation problems that requires large quantities of data shared across resources
• Optimizing the computational efficiency of existing machine learning based algorithms to drive higher performance and faster learning rates
• Developing systems, interfaces and tools to historical market data and trading simulations that increase research productivity
• Creating tools to analyze data and generate insights that research decisions are based on

Qualifications

• At least a Bachelors Degree in computing, statistics, mathematics or a related field from a top‑tier university
• At least 3 years of practical experience with C++ and some meaningful experience with Python
• Some meaningful finance / trading systems experience: working with order books / market data, electronic exchange orders management
• A strong background in data structures, algorithms, and object‑oriented programming
• Experience working with other OO programming languages such as Java or C#
• Strong working knowledge of Linux, and some SQL knowledge
• Brilliant detail oriented problem‑solving abilities
• Passion for innovation and building systems from the ground up
• A self‑starter attitude with the ability to work independently and own problems
• The ability to manage multiple tasks and make decisions in a fast‑paced environment
• Strong communication skills in English for business purposes

Tower Research Capital is an equal opportunity employer.