On behalf of a Crypto intelligence platform we are looking for a quantitative researcher to design the analytical frameworks that power our clients platform. This role is about defining what "smart money" means, creating signals, and building metrics that do not exist yet. This job can be based in USA or Singapore or be remote.
You will work closely with a Senior Blockchain Data Engineer to turn research into production systems. Design quantitative frameworks for analysing onchain behaviour (wallet scoring, entity classification, flow analysis), Create market micro-structure indicators that work across CEXs, DEXs, and L2s, Build risk and anomaly detection systems for 300M+ wallets, Develop blockchain-native metrics (realized cap, holder behavior, network effects), Research signal validity and back-test against historical data, Collaborate with data engineering to architect systems that can compute your models at scale and turn research into production systems that run automatically This role is part research, part engineering, part product. You will have significant autonomy over what you build.
To be eligible for this interesting role you will possess a PhD or Masters degree in Mathematics, Statistics, Physics, Computer Science, Economics, Financial Engineering, or a related quantitative field, Exceptional undergraduate candidates with demonstrated research excellence will also be considered.
A minimum of 3 to 5 years building and deploying quantitative models in production environments, Proven track record of models that generate measurable impact (P&L, predictive accuracy, operational improvements), Experience with large-scale data analysis and statistical modelling and a demonstrated ability to take research from conception through production and deployment.
Expert-level proficiency in Python or relevant coding language, Strong foundation in probability theory, statistical inference, and time series analysis, Experience with back testing frameworks and validation methodologies, Comfortable writing production-quality code, not just research scripts and SQL and data manipulation at scale.
What Makes This Role Different is that this is a research role with unusual scope and impact. You will be designing analytical frameworks that define how institutional capital understands on-chain activity. Design entirely new metrics and analytical primitives, not incremental improvements to existing models, Full access to multi-chain infrastructure, compute resources, and engineering support to product-ionize your work, Your frameworks will be used by institutional investors making real allocation decisions, Direct ownership of your research domain with minimal oversight and Work that gets attributed to you and builds your professional reputation.
For further information please submit your current cv and any other relevant information by email to Shenaaz Bhima at shenaaz.bhima@ap-executive.com all applications will be treated in strict confidence.
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