EcoAsset.AI

Covered Bonds & Securitisation Advisory Services
Independent data and process advisory for treasury, funding and risk teams – from asset pool data quality to rating-agency readiness.
EcoAsset.ai — Rating & Reporting Readiness
Rating & Reporting
Readiness
Full end-to-end transaction support for issuers of structured finance instruments
  • Pool composition & asset selection under rating agency methodology (e.g. Moody's)
  • Rating-agency data template preparation
  • On-site meeting preparation & rehearsal
  • Post-closing reporting to agencies & regulators
EcoAsset.ai — Asset Pool Data Quality Assessment
Asset Pool Data Quality Assessment
Pre-AUP data diagnostic and remediation for covered bond issuers and ABS/RMBS originators
  • Source documents scanned and digitalised
  • Loan-by-loan reconciliation against your systems
  • Break report by field and root cause
  • Gaps closed before the auditor samples
EcoAsset.ai — Cover Pool Software Modernisation Blueprint
Collateral Pool Software Modernisation Blueprint
A design blueprint for your make-or-buy decision on collateral pool software
  • Regulatory & functional requirements map
  • AS-IS architecture & data inventory
  • Target requirements specification
  • Make-or-buy matrix & roadmap

Rating Readiness

Full end-to-end transaction support for financial institutions issuing structured finance instruments

Why it matters

A rating is largely settled before the analyst opens the pool. Asset selection, the data templates, the way the originator’s processes are presented on site, and the reporting that has to keep flowing after closing are all one problem — and they are usually handled by different teams. We run them as a single engagement, on the agency’s methodology rather than yours.

How it runs

  1. Prepare the poolCollateral pool preparation and asset selection under a rating agency methodology (e.g. Moody’s), optimised for the target rating.
  2. Test the structureCredit enhancement sensitivity across scenarios, so you know which assumptions move the rating and by how much.
  3. Fill the templatesRating-agency data template preparation, with every field traceable back to source.
  4. Rehearse the meetingSupport in presenting the originator and servicer processes, and rehearsal of the on-site meeting itself.
  5. Close and monitorOptimisation of the originator’s processes around the transaction, and set-up of the reporting systems that feed the rating agency and regulators after closing.

Asset Pool Data Quality Assessment

Pre-AUP data diagnostic and remediation for covered bond and ABS/RMBS issuers, ahead of auditor and rating-agency scrutiny

Why it matters

In a pool AUP an accounting firm re-reads your source documents — loan agreements, valuation reports, income evidence — and compares them with the loan-by-loan data your systems sent to the rating agency. Every break is priced: penalties in Moody’s MILAN model, conservative assumptions where a field was checked poorly or not at all, and for material errors no high rating at all. The auditor samples a few hundred loans. We check the whole pool, first.

How it runs

  1. Scope the checkThe field list the agency’s model actually uses, and the source documents that evidence each one — loan agreement, valuation report, income evidence, purchase agreement, land register extract.
  2. Digitalise the documentsAI-Driven text extraction turns every scanned source document into structured, queryable data — the whole document set, not a sample of it.
  3. Reconcile against the systemEvery extracted field compared loan by loan with what your system holds and what populates the agency template — including the conversion into the reporting format, where errors also enter.
  4. Close the gapsEvery break classified by field and root cause, and the material ones corrected in the source system before the auditor’s sample is drawn.

Collateral Pool Software Modernisation

Regulatory-grade requirements basis and make-or-buy support for banks replacing or upgrading legacy pool-management systems

Why it matters

Roughly thirty German banks still run collateral pool management on legacy platforms, and the replacement decision keeps being deferred because nobody has written down what the target system must actually do. This engagement produces that specification — vendor-neutral, tender-ready, and detailed enough to price.

How it runs

  1. Map the rulesEvery regulatory and functional requirement the system must satisfy, cited to the paragraph of the applicable national law and the EU framework above it.
  2. Document AS-ISCurrent architecture, interfaces, data inventory and manual workarounds — including what only lives in one person’s spreadsheet.
  3. Specify TO-BEA target requirements specification structured for a tender: functional, regulatory, data, integration and audit requirements.
  4. DecideA make-or-buy matrix scoring build, buy and hybrid against cost, time-to-value, regulatory risk and lock-in — with an implementation roadmap.

Business benefits

Three advisory services delivered by senior experts.
Independent advisory from the heart of Europe — based in Frankfurt, available worldwide.

Data transparency

+100%
Full loan-level lineage from source systems to rating agency and regulatory reporting outputs.

Lower reporting effort

-50%
Streamlined regulatory reporting, HTT and Moody's submission workflows reduce manual cycles.

Rating insight

+100%
Methodology walkthrough and rating-driver mapping identify the parameters that actually move the scores.

Trusted partners
& ecosystem references

100+
Data quality & reporting projects across Europe
15+
Years of banking & rating agency experience

Founders

EcoAsset.AI is led by an experienced founding team with deep expertise in structured finance,
enterprise software, data architecture, and AI.
STANISLAV NASTASSINE

DR. STANISLAV NASTASSINE, CEO

Structured Finance Expert
  • 20+ yrs in securitisation, advisory & rating
  • Moody's Ratings, BearingPoint, KPMG
  • Securitisation & covered bonds expertise
VLADIMIR RUBIN

DR. VLADIMIR RUBIN, CTO

Data Solution Architect
  • 20+ yrs in data architecture & AI
  • Built Adeal Systems (8+ yrs on market)
  • Deep experience in cloud & AI
JURI BENDER

DIPL.-ING. JURI BENDER, CFO

Enterprise Processes & Scaling
  • 20+ yrs enterprise delivery & operations
  • Ex-Software AG, Deutsche Telekom
  • Scalable SaaS development & governance

Request a presentation

By clicking "Request a presentation" you agree to Privacy Policy
Please feel free to contact us. We will hold a presentation and show the product at a convenient time for you.
Or you can send us a letter to the info@ecoasset.ai