Chief Scientific Officer
Company Description
Lukka is a leading provider of crypto asset data and enterprise solutions, trusted by a wide range of funds, fund administrators, and fund auditors. The company focuses on delivering highly accurate reporting and data management to support sophisticated crypto-asset operations. Clients such as State Street, Polychain, and eToro rely on Lukka’s Enterprise Data Management platform to streamline complex crypto asset data workflows. Lukka’s solutions help organizations improve transparency, support NAV reporting, and enhance overall operational efficiency in the digital asset ecosystem. Role Description The Chief Scientific Officer (CSO) is a full-time, remote role responsible for overseeing Lukka’s scientific and research strategy across crypto asset data, modeling, and analytics. This role leads research initiatives to develop and validate methodologies for data quality, valuation, and risk assessment, ensuring scientific rigor and regulatory alignment. The CSO partners with product, engineering, and data teams to translate scientific findings into scalable solutions and tools used by institutional customers. Day-to-day activities include directing research programs, supervising scientific staff, reviewing and publishing technical papers or whitepapers, and engaging with external experts and industry groups. The CSO also contributes to strategic planning, supports business development discussions with key clients, and represents Lukka in conferences and standards bodies as a scientific thought leader.
Qualifications
Strong foundation in Research and Development (R&D) and applied Research, with experience leading complex scientific programs or innovation initiatives. Advanced expertise in Science and Medicine or related quantitative fields (e.g., mathematics, physics, computer science, data science) relevant to modeling and validating complex datasets. Demonstrated Laboratory Skills or equivalent hands-on experimental and analytical skills in designing, executing, and interpreting scientific studies or validation frameworks. Proven leadership experience managing multidisciplinary scientific or technical teams, including setting research agendas and mentoring staff. Graduate degree (PhD or equivalent experience) in a scientific, technical, or quantitative discipline is strongly preferred. Experience working with data-intensive environments; background in financial services, digital assets, or quantitative research is a plus. Ability to communicate complex scientific concepts clearly to both technical and non-technical stakeholders, including clients and regulators. Strong strategic thinking, decision-making, and collaboration skills, with the ability to operate effectively in a remote, fast-moving environment.