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 don.fletcher@ap-executive.com or via whatsapp on +44 7817 258331

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