[ Quant Comapny from USA ] Quantitative Researcher (ML)

A pioneering research-focused organisation is seeking a Quantitative Researcher specialising in Machine Learning to join their Taipei City team. This company offers an exceptional opportunity for early-career researchers who are passionate about pushing the boundaries of machine learning and statistics. Unlike traditional financial institutions, this organisation operates more like a research laboratory, fostering a culture of curiosity, collaboration, and knowledge-sharing.

Salary: Competitive and based on experience

Location: Taipei City

Keywords: collaborative, research-driven, machine learning, PhD graduates, coding skills, statistics background, supportive leadership, growth opportunities, inclusive environment

What you'll do:

As a Quantitative Researcher in Machine Learning, you will immerse yourself in an intellectually stimulating environment where your analytical skills will be put to the test on challenging projects with tangible impact. Your daily activities will revolve around developing sophisticated models using cutting-edge statistical methods, collaborating with peers who share your passion for discovery, and contributing fresh perspectives that help shape the future direction of the team. Success in this role means not only delivering high-quality research outputs but also embracing opportunities for personal growth through mentorship and active participation in collaborative initiatives. You will play a pivotal role in driving innovation within a supportive setting that values curiosity, inclusivity, and shared achievement.

• Collaborate closely with a small, highly skilled team to design and implement advanced machine learning models that address complex real-world problems.
• Apply your expertise in statistics and coding to develop robust quantitative frameworks that drive key business decisions and support large-scale operations.
• Engage in rigorous data analysis, leveraging state-of-the-art methodologies to extract actionable insights from vast datasets.
• Work directly under the guidance of senior research leaders, receiving personalised feedback and support as you refine your technical approach.
• Contribute to the ongoing evolution of the organisation’s research agenda by proposing novel ideas and participating actively in group discussions.
• Document your findings clearly and communicate results effectively to both technical and non-technical stakeholders across the global team.
• Participate in regular knowledge-sharing sessions designed to foster collective growth and ensure best practices are disseminated throughout the team.
• Support the integration of new technologies into existing workflows, ensuring seamless adoption and continuous improvement.
• Maintain a strong commitment to ethical research standards while exploring innovative applications of machine learning techniques.

What you bring:

The ideal candidate for this Quantitative Researcher position brings recent doctoral-level training combined with genuine enthusiasm for advancing machine learning applications beyond conventional finance settings. Your proven ability to code efficiently allows you to translate theoretical concepts into practical tools that deliver measurable results. You thrive when working collaboratively alongside knowledgeable colleagues who value open communication and mutual support. Your background equips you with both rigorous analytical thinking and sensitivity towards ethical considerations—a combination essential for success within this forward-thinking research environment. By joining this team, you will have ample opportunity to further hone your technical skills while making meaningful contributions that extend well beyond individual achievement.

• Hold a PhD degree (or equivalent) awarded within the last three years, demonstrating deep academic training in relevant fields such as machine learning or statistics.
• Possess strong programming abilities with hands-on experience coding complex algorithms for data analysis or model development.
• Demonstrate a solid foundation in statistical theory and its practical application to real-world datasets.
• Showcase excellent interpersonal skills that enable effective collaboration within small teams focused on shared goals.
• Display enthusiasm for working outside traditional finance domains, bringing fresh perspectives from diverse academic backgrounds.
• Exhibit adaptability when tackling unfamiliar challenges or integrating new technologies into existing processes.
• Communicate technical concepts clearly both verbally and in writing to audiences with varying levels of expertise.
• Commitment to maintaining high ethical standards throughout all stages of research activity.

What sets this company apart:

This organisation stands out as an inclusive research powerhouse committed to nurturing talent at every stage of career development. The company’s impressive growth trajectory is matched only by its dedication to providing flexible working opportunities tailored to individual needs. Employees benefit from access to world-class mentors who invest personally in their professional journey, as well as generous resources allocated towards training opportunities that keep skills sharp and relevant. Here, you will find not just a job but a community united by shared purpose—where your contributions are celebrated and your potential is fully realised within an environment built on trust, respect, and continuous learning.

What's next:

If you are ready to take your expertise in machine learning and statistics to new heights within a truly collaborative setting, this is your moment to shine—apply now!

Apply today by clicking on the link provided; we look forward to discovering how you can make an impact as part of our growing team.