.Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we rock with over 180 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels and Singapore, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks. But we're more than a service provider. We're an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. Job description Using BI tools connected to Keyrock DBs and external resources to analyze our trading activities and draw actionable conclusions for our Risk Management function and Finance Department. Support and manage data requests from various business stakeholders – can understand business change needs and assess the impact of those changes. Managing and ensuring the proper reporting structure, internally or towards external clients if needed. Being able to generate knowledge from data (either internal or external) and present the outcome to internal and external stakeholders. Background and experience 3+ years experience; Bachelor's degree and above in a quantitative or engineering field with professional work experience in a relevant field. Strong analytical thinking and communication skills. Experience with analysis tools such as SQL, Python, Matlab or R. Experience on DW/BI, good understanding of data warehousing and dimensional modeling. Solid experience with at least one data visualization tool (Tableau, Qlik, Grafana, PowerBI, etc.). Experience in working with cross-functional teams to gather requirements and ability to set work priorities. Good business sense and logical thinking. Ability to synthesize quantitative information and articulate concrete concepts to others. Experience with financial trading, risk, and derivatives analysis will be beneficial. Our recruitment philosophy We value self-awareness in our recruitment process. We seek people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field
