Each engagement is scoped to a concrete outcome and a clear definition of
what "working" means before the work starts.
01
Quantitative Trading
Systematic strategy design and portfolio construction — signal research,
position sizing, risk limits, execution modelling and realistic cost and
capacity assumptions. Built to be run, monitored and reasoned about, not
just backtested.
02
Research & Development
Hypothesis-driven research with the guardrails that make results
trustworthy: leakage-free data alignment, out-of-sample and subsample
testing, parameter sensitivity, and a written record of what was tried
and rejected as well as what worked.
03
Data Science
Time-series and panel modelling, statistical analysis, and the data
plumbing underneath it — ingestion, validation, point-in-time correctness,
and reporting that a decision-maker can actually read.
04
AI Integration
Large language models and agentic workflows applied where they hold up:
research assistance, document and data extraction, internal tooling and
automation. Scoped against a baseline, with the failure modes named
up front.