Portfolio & risk analytics
Exposures, concentration, liquidity buckets and look-through analysis across asset classes and mandates.
- Exposure
- Concentration
- Look-through
Investment Analytics Programmes
Analytics programmes, built into your platforms
We design, build and implement analytics programmes that connect portfolio data, investment rules and valuation models — so your team gets reliable answers every day, not once a quarter.
The solution
What an investment analytics programme is
A set of connected components that turns raw portfolio, market and regulatory data into trusted outputs: exposures, limit checks, valuations, scenarios and reports.
Instead of another spreadsheet, you get a documented, tested and automated process that runs inside the systems your team already uses — SimCorp Dimension™, Charles River, MIG21, Bloomberg or your own data warehouse.
- Data pipelines from your source systems in SQL and Python
- Investment rules coded, mapped and tested
- Valuation and scenario models with versioned assumptions
- Dashboards and reports in Power BI or Excel
- Documentation, training and full ownership for your team
Analytics modules & methodology
Combine the modules your investment process needs
Each module works on its own and becomes more powerful when connected to the others.
Valuation engine
Automated DCF and comparable-company valuation with base, upside and downside scenarios and sensitivity tables.
- DCF
- Comparables
- Scenarios
Compliance rules engine
Investment guidelines and regulatory limits coded as testable rules, with pre- and post-trade checks and breach analysis.
- UCITS
- AIFMD
- BVV2 / KKV
Due diligence toolkit
Structured manager and fund due diligence with consistent scoring for private equity and alternative investments.
- Private equity
- Alternatives
- Scoring
Reporting & dashboards
Performance, risk and compliance reporting in Power BI or Excel, refreshed automatically from your data.
- Power BI
- Automation
Document intelligence
Machine-learning assisted extraction of limits and terms from fund prospectuses and investment contracts.
- Prospectuses
- Contracts
- ML
Our methodology
01
Source-to-report lineage
Every figure can be traced back to its source data.
02
Rules as specifications
Each rule is documented with its legal or mandate reference before coding.
03
Test before trust
Mapping checks, test cases and parallel runs against existing results.
04
Versioned assumptions
Model changes are tracked, reviewed and explained.
Build & implementation
From assessment to go-live in five steps
Typical durations; the exact plan is agreed in the proposal.
Assess
Map data sources, systems, mandates and your target operating model.
Design
Define architecture, rule specifications, model logic and reporting.
Build
Develop pipelines, models and rules and integrate them with your platforms.
Test
Rule testing, data mapping checks and a parallel run against current outputs.
Launch & support
Deployment, documentation, team training and hypercare support.
Results & use cases
What analytics programmes change in practice
Typical scenarios based on the kinds of projects FINCON4 delivers. Client names are always kept confidential.
Asset manager moving to a new order management system
- Challenge
- Investment restrictions had to move to a new platform without compliance gaps.
- Approach
- Rule inventory, re-coding and mapping, test cases and a parallel run of old and new checks.
- Result
- Consistent rule coverage at go-live and a documented rule library for future changes.
Swiss pension fund monitoring BVV2 limits
- Challenge
- BVV2 investment limits were checked manually across several mandates.
- Approach
- Automated limit engine with look-through data and a monthly Power BI report.
- Result
- Faster, auditable limit monitoring and earlier warnings before a breach.
Advisory team evaluating private-market funds
- Challenge
- Private equity and alternative funds were compared on inconsistent data.
- Approach
- Due diligence scoring model plus DCF and comparable valuation templates.
- Result
- A repeatable, documented basis for investment committee decisions.
Let's map your analytics programme
In a free 30-minute consultation we look at your data, systems and goals and outline a realistic first step.