Quantitative Developer

TOWER RESEARCH CAPITAL (SINGAPORE) PTE. LTD.; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A global technology company is seeking a Quantitative Developer for its Singapore office. The role involves designing low-latency trading platforms and developing research tools. Candidates should have a degree in computer science and at least 7 years of hands-on experience with C++ and Python, along with a strong foundation in data structures and algorithms. Excellent problem-solving and communication skills are essential for success in this fast-paced environment.

Qualifications

• At least 7 years of practical experience with C++ and Python.
• Strong background in data structures, algorithms, and object-oriented programming.
• Good experience with other programming languages such as Java.
• Strong working knowledge of Linux and SQL.

Responsibilities

• Design and implement a low latency high-frequency trading platform.
• Assist in developing a tick by tick backtesting research platform.
• Optimize computational efficiency of existing machine learning algorithms.
• Develop systems and tools for historical market data and trading simulations.

Skills

C++

Python

Java

Data structures

Algorithms

Object-oriented programming

Linux

SQL

Problem-solving

Communication skills

Education

Degree in computer science or related field

Job description

Tower Research Capital seeks a Quantitative Developer to join our Singapore office. Working at Tower means collaborating with bright minds from around the world to create cutting edge-technology and tackle challenging technical problems.

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

Required Qualifications

• A degree in computer science or a related field from a top tier university
• At least 7 years of practical experience with C++ and Python
• A strong background in data structures, algorithms, and object-oriented programming
• Good experience with other programming languages such as Java
• Strong working knowledge of Linux and SQL
  • 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 purpose