Product Details

Advanced Portfolio Analytics for investment teams, built on clean and complete data.

Quantilia empowers your quant models and reporting needs across asset classes and risk factors.

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Analytical Depth

Transform data into actionable insight

Our Quantitative Vision

Quantilia believes that data science and portfolio management go hand in hand. The platform offers powerful, ready to use quantitative analysis tools while remaining flexible enough to support custom risk and performance models. Whether you are a quant, a risk officer, or an asset allocator, the infrastructure is designed to support your logic rather than impose one.

Quant Analysis at Quantilia

Our quantitative analysis engine helps investors scale their analytical capabilities, automate risk metrics, and focus on high-value strategic tasks:

1

Time series analytics, risk decomposition, and cross-portfolio factor analysis

2

Automated preparation of numerical indicators: drawdowns, volatilities, correlations, beta exposures, etc.

3

ESG data integration and weighting for advanced sustainability metrics

4

Integration of Private Equity forecasting and ratios into overall analytics

5

Calculation of solvency ratios and regulatory indicators (e.g., Solvency II SCR)

6

Smart grouping of instruments (clustering) by behavior or performance

7

Support for custom metrics or models using proprietary formulas

7

API and exports for integration into internal quant or reporting systems

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Our DNA: Quantitative Models Grounded in Data Quality

Quantilia was born from a strong quantitative background. Its founders come from leading academic and financial institutions, with deep expertise in stochastic modeling, structured finance, and asset allocation. This quantitative DNA is reflected at every layer of the platform. The firm recognizes that even the most sophisticated models are only as reliable as the data that supports them. For this reason, emphasis is placed on data structuring, enrichment, and validation before any analytics are performed. Data pipelines are designed to clean and standardize complex datasets across custodians, asset managers, and instruments, ensuring that outputs are robust and comparable. From statistical indicators to proprietary metrics, all computations rely on a foundation of trusted, high quality data.

Empowering You as a Quant

Our role is not to replace your models, but to provide the tools, data, and structure needed to build better ones. With Quantilia, quants and analysts work faster, iterate more efficiently, and unlock the full potential of their strategies.

Private Equity Liquidity Analysis

Anticipate liquidity gaps in illiquid portfolios.

Using historical cash flows, capital calls, and commitments, we simulate future outflows and liquidity needs for private equity allocations. This supports ALM, scenario testing, and strategic planning.

SCR & Regulatory Calculations

Automate Solvency II and CRR2 metrics with confidence.

We help insurers, pension funds, and financial institutions compute regulatory ratios including Solvency Capital Requirement (SCR), CRR2 risk-based capital ratios, DIC PRIIPs indicators, and pre-contractual SFDR documents. Our platform ensures data standardization, traceability, and compliance-ready outputs.

Clustering of Assets

Group investments by behavior, not just labels.

Through correlation and performance similarity, we dynamically cluster instruments into behavioral groups. This enables better diversification analysis and innovative allocation strategies.

Custom ESG Analysis

Transform your ESG policy into tangible metrics.

Quantilia supports fully customizable ESG frameworks, whether based on exclusions, scores, thresholds, or label tracking. We plug in external or internal data sets and build personalized dashboards and reports aligned with your sustainability goals.

Our Others Services

Beyond data consolidation and portfolio transparency, Quantilia offers a range of advanced services to support institutional investors with deep insights, operational efficiency, and compliance-readiness.

Portfolio monitoring framework diagram featuring data quality, flexibility, and service pillars for investment analytics

Adapting to Your Quant Projects: From Logic to Execution

Every quant project starts with a hypothesis, a model, or a specific need, and Quantilia helps bring it to life. The process begins with a technical and business scoping phase to understand underlying logic and operational constraints. Data flows are then configured, required indicators or APIs are built, and outputs are tested in a sandbox environment. Collaboration happens with a team that understands both finance and computation, enabling fast iterations and long term reliability. As models evolve, pipelines are adjusted without disrupting reporting or internal processes. Whether testing new risk factors, refining an ESG framework, or industrializing analytics for stakeholders, the solution scales in line with ambition.

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