Lead Quant, Crypto Intelligence Platform

AP Executive are working with a client who are building institutional-grade crypto intelligence terminal. They're creating a unified platform that transforms blockchain data into actionable insights at scale. They're building the data layer and infrastructure that makes deep on-chain analysis accessible without specialised expertise. The Role We're looking for a quantitative researcher to design the analytical frameworks that power our platform. This isn't about implementing someone else's models. This is about defining what "smart money" means, creating signals, and building metrics that don't exist yet. The problems are legitimately interesting: How do you score wallet behavior in a pseudonymous environment? What signals distinguish accumulation from manipulation? How do you measure capital flows across fragmented liquidity? What blockchain-native metrics predict protocol success? You'll work closely with our Senior Blockchain Data Engineer to turn research into production systems. This is a deeply collaborative role - you'll need to understand what's feasible with blockchain data infrastructure and help shape how we architect our data layer to support sophisticated analysis. What You'll Do Design quantitative frameworks for analysing onchain behavior (wallet scoring, entity classification, flow analysis) Create market microstructure 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 backtest against historical data Collaborate with data engineering to architect systems that can compute your models at scale Turn research into production systems that run automatically This role is part research, part engineering, part product. You'll have significant autonomy over what you build. This role is right for you if: You understand blockchain data from first principles, what it measures and what it doesn't You can design metrics that work across different chain architectures You think about supply dynamics, holder behaviour, and flow analysis You care about creating interpretable, actionable metrics, not just correlations You want your research to define how people understand on-chain activity You have strong quantitative foundations (statistics, probability, modelling) You've built quantitative models that were used in production You're comfortable working with messy, incomplete data You can collaborate effectively with engineers and other members to ship your work You can explain complex ideas clearly to non-technical stakeholders Required Qualifications Education: PhD or Master's degree in Mathematics, Statistics, Physics, Computer Science, Economics, Financial Engineering, or related quantitative field Preferred: Oxford, Cambridge, MIT, Stanford, Harvard, Princeton, Yale, ETH Zurich, Imperial College London. Exceptional undergraduate candidates from these institutions with demonstrated research excellence will be considered Experience: Minimum 3-5 years building and deploying quantitative models in production environments Proven track record of models that generated measurable impact (P&L, predictive accuracy, operational improvements) Experience with large-scale data analysis and statistical modelling Demonstrated ability to take research from conception through production deployment Technical Requirements: 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 SQL and data manipulation at scale Domain Knowledge: Deep understanding of market microstructure and trading dynamics Experience analysing financial time series and behavioural patterns Familiarity with quantitative finance concepts (risk metrics, portfolio theory, signal processing) Blockchain/crypto experience is valuable but not required if you have strong foundations and can learn quickly Candidate Profile - What Distinguishes Top Performers We're looking for researchers who have consistently operated at the highest level. Successful candidates typically have: Demonstrated Excellence: Publications, patents, or proprietary models that were recognized as significant contributions Track record of solving problems others couldn't solve Models or research that became reference points in their field Recognition from peers as being at the top of their domain Production Impact: Built systems that processed billions of data points reliably Models that were trusted for high-stakes decisions (trading, risk management, allocation) Research that directly generated revenue or competitive advantage Experience shipping research into production, not just writing papers Intellectual Rigor: Ability to design novel approaches from first principles Strong intuition for what will work before testing Clear thinking about causation vs. correlation Comfort with mathematical complexity when necessary, pragmatism when it's not Collaborative Capability: Experience working with engineering teams to productionize research Ability to explain complex concepts to non-technical stakeholders Track record of mentoring or leading research efforts Comfort taking feedback and iterating What Makes This Role Different This is a research role with unusual scope and impact. You'll be designing analytical frameworks that define how institutional capital understands on-chain activity. The opportunity: 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 productionize your work Your frameworks will be used by institutional investors making real allocation decisions Direct ownership of your research domain with minimal oversight Work that gets attributed to you and builds your professional reputation To apply please send your CV to Don Fletcher via or via whatsapp on AP Group is acting as an introductory service in relation to this vacancy. By submitting your CV for consideration, you are consenting to its retention for the purpose of securing you work. Any information you provide to AP Group and its subsidiaries will be subject to the protection of Data Protection Laws, our policy for which can be found at