Database Architect
- Time-series & relational database design
- Data governance, lineage, and audit frameworks
- Performance tuning and scaling at volume
- Reference data management and entity resolution
Independent model validation and due diligence
Independent, senior-led reviews — where you need an opinion, not an implementation.
Not every quant engagement is about building something new. Sometimes the question is simpler — and harder: can we rely on this model, this platform, or this hire? QuantDesigned provides independent, written assessments backed by hands-on technical review. Engagements are discrete, fixed-fee, and typically run two to six weeks.
Operational and manager risk is catalogued — and avoidable
5,000+ funds reviewed and 300+ operational-failure events catalogued — the kind of risk an independent review is built to catch. — Castle Hall (2017 white paper — illustrative base rate)
Independent advisory demonstrably moves fees and terms: Albourne advises on ~$800bn of alternatives; Aksia assesses ~$341bn. — Albourne / Aksia (as reported by the firms)
What we review
Three distinct engagements, each scoped as a discrete piece of work with defined deliverables.
Models
Model Validation & Vetting
Independent review of pricing, risk, valuation and signal-generation models — in-house, inherited or vendor-supplied. Suitable for second-line governance, pre-deployment sign-off, post-incident review and pre-acquisition diligence.
Platforms
Due Diligence on Complex Models & Platforms
Technical and methodological DD on third-party quant platforms, data products and analytics vendors. Suitable for buy-vs-build decisions, investor or acquirer diligence, and allocator review of data-dependent managers.
People
Quant Talent Vetting
Independent technical assessment of candidates, delivered through the QuantDesigned Learning Platform and reviewed by senior practitioners. Suitable for hiring panels lacking deep quant expertise, graduate intakes, senior hires and team build-outs.
We can vet candidates for these roles
We are always interested in connecting with strong practitioners across these disciplines — for permanent, fractional, and project work alike.
Software Architect
- Quant platform architecture (Python / C++ / R)
- CI/CD pipelines, automated testing, reproducibility
- OMS/EMS integration and FIX connectivity
- System design and engineering standards
Data Engineer
- Market-data pipeline design and ingestion
- Normalisation, data quality, and vendor-neutral connectivity
- Cloud deployment (AWS, Azure, Snowflake, Databricks)
- Python, Git, and production discipline
Quant Developer
- Production Python / C++ for pricing and risk models
- Backtesting engines and analytics libraries
- Numerical methods and derivatives knowledge
- Automated testing, Git, and reproducibility
Quant Researcher (Trainee)
- Strong quantitative degree — maths, physics, CS, or similar
- Python programming and statistical foundations
- Pricing, risk, and alpha research support
- Structured mentorship and development path
How we work
- Fixed fee, agreed upfront
- Senior-led — founders and PhD-level practitioners, never delegated to juniors
- NDA-bound throughout
- No introducer fees, no reseller margin, no downstream implementation dependency
- Every engagement produces a written, defensible report suitable for board, IC, audit or regulatory review
Common questions
QuantDesigned sells no software, resells no data, and takes no introducer fees, so there is no downstream implementation work riding on the conclusion. A reviewer who stands to win the rebuild has an interest in finding the model broken; we do not. Every engagement is fixed-fee and agreed upfront for the same reason.
Pricing and valuation models, market and counterparty risk models, credit and regulatory capital models, systematic strategies and backtests, and machine-learning models. The review covers methodology and assumptions, code reproduction and benchmarking, data lineage, documentation and governance — not just whether the numbers tie out. See what we review →
Yes. Independent quantitative due diligence on external models, analytics platforms and data providers is a core service, typically before an investment, an acquisition or a vendor selection. QuantDesigned has no reseller or referral relationship with any platform, so the assessment carries no commercial interest in the outcome. Read a due-diligence case study →
The founders and PhD- and CQF-credentialled practitioners, never delegated to juniors. Engagements are discrete and fixed-fee, typically two to six weeks depending on scope, and are NDA-bound throughout.
A written, defensible report suitable for board, investment-committee, audit or regulatory review — findings, severity, evidence and specific remediation recommendations. It is written to be handed to a third party without translation.
Working alongside
