Quant & algorithmic market research
Standing up my own market-research desk — quantitative and algorithmic analysis of markets, with live studies running today and a deeper research roadmap planned.
Users · Data · Markets
Juan John Mathews
Seeking value at the intersection of users, data, and markets.
Eight years nurturing B2C products across ad-tech, e-commerce, and fintech — from zero-to-one launches to scaling revenue verticals through data-driven experimentation. I came up as a software engineer, so I still like to stay close to the data, the experiments, and the systems underneath.
Selected work
Loaders and Annals
Self-Goals
A lab with the lights always on
A live JupyterLab where the notebooks run hot — data wrangled, models prodded, and hypotheses poked until they confess. The workbench behind everything above.
Frontiers
Behavioural anti-spam on intent embeddings
Built and manage an anti-spam system that weeds out users with malformed intent through behavioural signals, while measuring strength of intent for genuine user interests — embedding user interests in vector space and measuring deviations across behavioural and intent signal mappings.
Personalised offer ranking at scale
Own the ranking stack that pairs each user’s intent with the advertiser offer most worth showing. Deterministic mathematical rails set the structure; revenue-driving offer parameters are tuned per user and scored through an ensemble of heuristics and ML models.
Done
Payments infrastructure for GCC expansion
Built and modernized payment infrastructure for the Dubai & KSA expansion — including launching Apple Pay (0 → 28% of iOS payments) and a 12% lift in payment conversion.
$1.35M+ in engineering cost savings
As an engineer: an ML similarity engine for critical incidents (60% MTTR reduction), a blockchain asset ledger, and data pipelines scaling to 1 TB/day.
Also: ad-ranking products, refund automation, anomaly detection across 40+ metrics, NLP-powered ad classification. — full history on LinkedIn.
Ruminations
Notes at the edge of my curiosities
Essays-in-progress where my obsessions overlap — markets, machines, minds, and the futures they point to. Writing is underway; titles below are where my head is.
- Markets as machines — what programmatic finance and quant systems get right about the world. Quant
- Trust without intermediaries — where blockchains actually remove friction, and where they just move it. Blockchain
- The probabilistic universe — quantum intuitions for people who think in code and odds. Quantum
- How groups decide — political science and incentive design read as systems problems. Polisci
- The mind as an API — psychology, bias, and the user research it quietly powers. Psychology
- Futures worth wanting — science fiction as a foresight tool for product and society. Sci-fi
Curiosities
What I keep reading about
- Science fiction
- Stories as a sandbox for plausible futures.
- Programmatic finance
- Code, capital, and the plumbing between them.
- Quantitative trading
- Signal, noise, and the discipline to tell them apart.
- Blockchain
- Coordination and trust without a middleman.
- Quantum science
- A weirder, more interesting layer of reality.
- Political science
- Power, incentives, and collective decisions.
- Psychology
- How people actually decide — not how we assume they do.