Software Engineer

Tower Research Capital; Singapore; Presencial; SGD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Tower Research Capital seeks a Software Developer in Singapore to implement cutting-edge, low-latency C++ for high-frequency, high-throughput trading and research systems. You will work directly with Quants and Traders in one of our trading teams to advance production components.

Requirements include a degree in Computer Science or related field, at least 1 year of Python and C++ development, strong data structures and OOP, Bash/Linux experience, and excellent English communication.

Formación

• Degree in Computer Science or related field is required.
• Proficiency in Python and C++ with practical experience.
• Strong knowledge of data structures and OOP is essential.
• Experience with Linux and Bash is expected.
• English communication for business purposes.

Responsabilidades

• Design and implement a low latency high-frequency trading platform.
• Integrate quotes/trades from exchanges worldwide for the system.
• Support tick-by-tick backtesting and research workflows.
• Optimize large-scale parallel computations on shared data.
• Improve ML-based algorithms for performance and learning speed.
• Build tools to analyze data and drive research decisions.

Conocimientos

Python

C++

Data structures & algorithms

Object-oriented programming

Bash

Linux

English communication

Independent work

Work under pressure

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Cloud computing

Descripción del empleo

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

Requirements

• A degree in Computer Science or a related field
• At least 1 year of solid practical experience with Python and C++ development
• A strong background in data structures, algorithms, and object-oriented programming
• Experience in developing or working with any cloud computing framework is a plus
• Good experience with Bash and Linux
• Brilliant detail oriented problem-solving abilities
• 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