Expansion Module

Custom research engineering
for governed quant workflows

Build bespoke models, factor logic, diagnostics, and validation layers, then integrate them into the workflow your team will actually use.

Discuss research engineering
Delivery model

How research engineering supports the workflow

A practical model for teams that need bespoke quant work packaged into a governed workflow.

01

Define

Clarify decision objective, constraints, and governance expectations.

02

Design

Set hypotheses, model scope, and validation criteria before build.

03

Validate

Run sensitivity checks, stress scenarios, and review assumptions.

04

Package

Deliver committee-ready artifacts and implementation guidance.

Typical mandate

4-8 weeks

Scope dependent

Coverage

Multi-asset

Equity, macro, alternatives

Primary output

Decision artifacts

PM, risk, and IC ready

Method posture

Transparent

Assumptions and checks documented

Research Modules

Where we add value

Factor and exposure diagnostics

Assess style tilts, risk premia, and exposure stability with transparent assumptions.

Strategy design and validation

Develop and stress-test systematic ideas with sensitivity checks and implementation constraints.

Risk and attribution analysis

Break down return drivers, concentration risks, and scenario behavior for decision review.

Mandate Examples

Typical research-engineering mandates

Equity PM Team

Factor framework redesign

  • Reassessed factor definitions and data treatment assumptions
  • Rebuilt attribution pipeline with clearer interpretability
  • Produced implementation notes for PM and risk alignment
Improved attribution clarity and decision speed
Multi-Asset Team

Systematic allocation research

  • Defined signal set and regime-aware allocation logic
  • Tested robustness across market environments
  • Documented portfolio construction guardrails
More consistent decision process under regime shifts
Existing Strategy

Independent model and risk review

  • Audited assumptions, parameter sensitivity, and failure modes
  • Stress-tested portfolio behavior under adverse scenarios
  • Prioritized remediation actions by impact
Clear remediation roadmap for model governance
Control and confidence

Why teams add research engineering

Senior quant lead involvement

Each mandate is led by senior practitioners with institutional investment and risk experience.

Research-grade method standards

Methods and assumptions are grounded in established literature and explicitly documented.

Governance-friendly delivery

Outputs are built for PM, risk, and committee review with traceable rationale.

Weekly cadence

What you receive during execution

  • Weekly working session with portfolio and risk stakeholders
  • Assumption log and model change notes
  • Interim diagnostics with plain-language interpretation
  • Decision memo draft before final delivery

Close-out package

What remains with your team

  • Research memo with methodology and findings
  • Backtest and diagnostics package
  • Implementation considerations and guardrails
  • Follow-up roadmap for phase-two research
Decision Artifacts

What your team receives

Research memo with rationale
Validation and diagnostics pack
Method and assumption documentation
Implementation and handover guidance
Execution Flow

How we run the mandate

1

Define decision question

Align objective, constraints, stakeholders, and acceptance criteria.

2

Research and validate

Iterative model work with diagnostics, stress tests, and review checkpoints.

3

Deliver and hand over

Decision-ready artifacts, implementation guidance, and next-step roadmap.

Practical Questions

FAQ

How long does a mandate typically take?

Most focused mandates run 4-8 weeks; broader multi-workstream efforts run longer.

Can you work with our internal data?

Yes. We work within your data-access and confidentiality constraints.

How is IP and work product handled?

Deliverables and agreed work product are transferred to your organization under contract.

Discuss the research module

Describe the decision problem, the workflow it should support, and the outputs your stakeholders need.

secure-delivery: controls+auditability+handover

quickstart
# research brief (example)
portfolio: "Global Equity L/S"
benchmark: "MSCI World"
constraints: { gross: 2.0, net: 0.3 }

request: "Factor attribution + risk decomposition + investor memo"
output: [attribution.csv, risk_report.pdf, memo.md]