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How we work

Clear scope, clear methodology, clear deliverables. Every engagement is designed to be audited, questioned, and built upon.

Foundations

Principles

These shape every engagement.

Decision-first

Outputs that change what you do next

Assumptions explicit

No hidden "magic." You see the methodology.

Operational reality

Liquidity, sizing, governance matter

Regime-aware

Backtests are diagnostics, not promises

AI-accelerated

Move fast without sacrificing depth

Process

Process

Five phases. Clear inputs, clear outputs, clear handoffs.

1

Scope

We do

Define the question, constraints, and what success looks like

We need

Context on the decision you're facing, relevant positions, constraints

You get

Scope memo with deliverables and timeline

2

Analyze

We do

Run the models, scenarios, and backtests, AI-accelerated and human-reviewed

We need

Holdings data, scenario priorities, any governance constraints

You get

Preliminary findings and methodology documentation

3

Synthesize

We do

Translate results into actionable recommendations with tradeoffs explicit

We need

Feedback on preliminary findings, clarification on priorities

You get

Draft memo with recommendations and alternatives

4

Deliver

We do

Finalize deliverables: memos, specs, playbooks, or tooling

We need

Final review and any execution preferences

You get

Complete package ready for implementation

5

Support

We do

Ongoing monitoring, drift checks, or retainer access as needed

We need

Access to positions for monitoring (if ongoing)

You get

Periodic updates, recalibration recommendations, decision support

Methodology in Practice

How we designed a tail hedge program

A look at the process and deliverables from a completed engagement.

Objective & Budget

Defined the protection goal, annual premium budget, and monetization rules. Made the tradeoffs between cost and coverage explicit.

Strategy Variants

Tested crash puts, put spreads, ratio structures, and dynamic entry gates. Compared cost, convexity, and behavior across regimes.

Optimization

Optimized strike selection, hedge cadence, rolling rules, and monetization triggers. Documented the sensitivity to each lever.

Backtest

Ran full historical backtest across market regimes: 2008, 2020, 2022, and low-vol environments. Included transaction cost assumptions.

Playbook

Delivered rules playbook, execution playbook, and governance documentation. Clear instructions for implementation.

Monitoring

Established monitoring plan with review cadence, drift checks, and recalibration triggers. The program persists beyond the initial build.

Outcomes

What success looks like

Concrete outcomes from working together.

  • You understand the tradeoffs in a proposed trade before committing capital.
  • You have a second opinion from someone who's seen this before, with no conflicts.
  • Your risk decisions are documented in artifacts you can revisit and audit.
  • You know where your portfolio breaks under stress, and in what order.
  • You have dashboards and tooling that answer your specific questions.
How to Start

Start small. See the quality of work before committing further.

Most engagements begin with a single trade memo or structured product review. This lets you evaluate the depth and style of analysis before scoping a larger project or retainer.

If it works, we discuss what's next. A defined project sprint or ongoing retainer access. If it doesn't, you've learned something useful at low cost.

We scope before we quote. No surprises on deliverables or timeline.

Ready to see how we can help? Let's talk.

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