全职 Head of Research Infrastructure 工作, 薪水 up to SGD 20,000, CONSENSUS AI TECHNOLOGY PTE. LTD. Central Region (Singapore) 公司招聘中 - Ricebowl

Key responsibilities

Research infrastructure and data systems

• Design, build, set up, and oversee the Company's research infrastructure, including datasets and data systems.
• Establish data quality,validation, and governance standards so research outputs are accurate,reproducible, and auditable.

Research methodology and tooling

• Develop and implement industry research methodologies, data architecture, and research tooling to support the Company's research and product functions.
• Work closely with product and engineering teams to ensure research infrastructure supports the Company's business objectives.

Team leadership

• Build, manage, and mentor the research infrastructure / data team as required to achieve the Company's research and business objectives.
• Set technical direction,standards, and review practices; foster a culture of rig our and documentation.

General

• Undertake other duties commensurate with the seniority of the role, and ensure all activities comply with applicable laws and company policies, including confidentiality, cybersecurity , and data protection.

Requirements

• Bachelor's degree or above in Mathematics, Computer Science, Data Science, or a related field; an advanced degree is an advantage.
• 6+ years of relevant experience in research infrastructure, or quantitative/industry research.
• Proven track record of designing and building production data pipelines, datasets, and data systems,ideally supporting a research, investment, or analytics function.
• Experience developing structured research methodologies or comparable analytical rigor.
• Able to hire, manage, and mentor a technical team while remaining hands-on; strong written and verbal communication skills in English.
• Willing to travel overseas as reasonably required.

Preferred qualifications

• Experience building data or research infrastructure.
• Domain exposure to industry,market, or financial research; experience in an early-stage environment where systems were built from scratch.