[ Trading Company ] Quant Researcher

A leading research team in Taipei is seeking a Quantitative Researcher with a passion for machine learning and quantitative finance. This opportunity offers you the chance to work at the forefront of financial technology, designing and deploying deep learning models within high-performance, low-latency trading systems.

Salary: Competitive and based on experience

Location: Taipei

Keywords: collaborative, dependable, supportive leadership, flexible working opportunities, enthusiastic, inclusive, knowledgeable, training opportunities

A leading research team in Taipei is seeking a Quantitative Researcher with a passion for machine learning and quantitative finance. This opportunity offers you the chance to work at the forefront of financial technology, designing and deploying deep learning models within high-performance, low-latency trading systems. You will be part of a knowledgeable and supportive group that values collaboration, continuous learning, and technical excellence. The organisation provides flexible working opportunities and encourages professional growth through training and knowledge sharing. If you are enthusiastic about applying advanced machine learning techniques to real-world trading challenges, this role will allow you to make a significant impact while developing your skills in a nurturing environment.

• Join a collaborative research team focused on cutting-edge machine learning applications in quantitative finance, where your contributions will directly influence trading strategies and outcomes.
• Benefit from flexible working opportunities and ongoing training programmes designed to support your professional development and help you stay ahead in the fast-evolving world of financial technology.
• Work alongside knowledgeable colleagues who value inclusivity, teamwork, and supportive leadership, ensuring you have the resources and encouragement needed to thrive in your career.

What you'll do:

As a Quantitative Researcher – Machine Learning based in Taipei, you will play an integral role in advancing the capabilities of high-performance trading systems. Your day-to-day activities will involve collaborating closely with other researchers to understand market data intricacies, designing sophisticated deep learning models that address unique challenges in quantitative finance, and ensuring these models are both scalable and efficient. You will be responsible for optimising feature engineering processes using advanced programming skills, conducting thorough backtesting to validate model reliability across various market scenarios, and integrating your solutions into live trading environments where speed and accuracy are paramount. Success in this role requires not only technical expertise but also a commitment to teamwork, open communication, and continuous improvement within a supportive setting.

• You will analyse and preprocess complex orderbook data to ensure robust input for model development.
• You will design deep learning models tailored for time-series and orderbook data using architectures such as Transformers, RNNs, CNNs, and Attention mechanisms.
• You will implement scalable training pipelines by parallelising data loading processes to maximise efficiency.
• You will develop and optimise orderbook features using C++ to enhance model performance within trading systems.
• You will conduct rigorous backtesting across multiple markets to evaluate model effectiveness under diverse conditions.
• You will deploy models into real-time, low-latency production environments, integrating seamlessly with existing trading infrastructure.

What you bring:

Your proven experience as a Quantitative Researcher – Machine Learning will include hands-on involvement with advanced modelling techniques applied to financial datasets. You bring strong analytical abilities supported by a solid mathematical background that enables you to tackle complex problems methodically. Your programming expertise allows you to efficiently develop scalable solutions while maintaining clear communication with team members. You are motivated by the challenge of improving model performance within demanding trading environments and demonstrate enthusiasm for ongoing personal development. Whether you are an experienced professional or an ambitious recent graduate eager to learn from knowledgeable peers, your commitment to collaboration and continuous improvement will be highly valued.

• Demonstrated background in machine learning or quantitative research with experience relevant to financial markets is highly desirable.
• Experience deploying machine learning models in real-time, low-latency environments is considered advantageous for this position.
• Familiarity with techniques for optimising model latency and inference speed such as KV caching, quantization, or pruning would be beneficial.
• Proficiency in deep learning architectures including Transformers, RNNs, CNNs, and Attention mechanisms is expected.
• Strong programming skills in Python and C++, with additional experience in Jax or PyTorch being valuable.
• Solid mathematical foundation encompassing probability theory, linear algebra, calculus, and statistical analysis is required.
• Ability to articulate complex technical concepts clearly within a collaborative team environment is essential.
• Passion for applying machine learning methods to solve quantitative finance problems is important for success.
• Drive to continuously improve models through research and experimentation is encouraged.
• Open-mindedness towards candidates at different career stages including highly motivated recent graduates.

What sets this company apart:

This organisation stands out for its commitment to fostering an inclusive workplace where every team member’s contributions are recognised and celebrated. The company prioritises flexible working opportunities that accommodate individual needs while promoting communal growth through regular training sessions and knowledge-sharing initiatives. Supportive leadership ensures that employees feel empowered to pursue new ideas without hesitation, creating an environment where innovation flourishes alongside dependability. The culture emphasises empathy, cooperation, and mutual respect—qualities that make it possible for everyone to succeed together. By joining this team, you become part of a network dedicated not only to technological advancement but also to personal well-being and professional fulfilment.

What's next:

If you are ready to take the next step in your career as a Quantitative Researcher – Machine Learning within a collaborative research environment in Taipei, we encourage you to apply now!

Apply today by clicking on the link provided.