Head of Research Infrastructure

CONSENSUS AI TECHNOLOGY PTE. LTD.Singaporemycareersfuturepublished 09/09/2026
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Must-have:SecurityLead

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.