Computational Finance and Risk Technology

Data Architecture:

Designing and structuring of data-related resources, including data storage and warehousing, data integration, and data modelling

o Data Storage: Decisions about where and how data is physically or virtually stored in databases, warehouses, data lakes, or cloud . o Data Integration and Modelling: Techniques and technologies, such as ETL, ELT, and Data Virtualisation, to collate and connect data from disparate sources .
o Data Management & Security: Managing the lifecycle of data, from creation and storage to deletion and protecting data from unauthorized access

Data Analytics and Reporting

Transforming data into actionable insights through descriptive, predictive, and prescriptive analytics, and business intelligence.

o Data Analytics: Tools and technologies for descriptive, diagnostic, predictive, and prescriptive analytics
o Business Intelligence: Tools and technologies for data processing (BI tools, data warehousing, OLAP) to transform raw data into actionable insights for decision-making.
o Dashboarding and Reporting: Visual dashboards, reports, and data summarization techniques to help track key metrics, analyze trends, and communicate insights.

Data Governance and Culture

Policies, standards, and processes that ensure data is managed efficiently across the organization

o Overarching strategy and practice that ensures high quality throughout the complete lifecycle of a company's data
o Developing an appropriate data culture and building a constant feedback loop will ensure continuous improvements to data utilisation.

Early Warning Signal iEWS®

Revolutionizing illiquid credit markets with AI-driven insights and risk assessment.
Predictive analytics to navigate the complexities of illiquid securities effectively.
Leverage EWS’s advanced algorithms for comprehensive, real-time credit and risk analysis.

Empowering Financial Decisions Through Advanced Computational Solutions

Harness cutting-edge computational techniques and innovative risk technology to solve complex financial problems. ALP enables financial entities to optimize risk-return profiles, enhance decision-making, and navigate compliance and uncertainty with precision.

Client cases

Policy Enhancement and Fraud Risk Assessment

Credit Risk Anomaly Detection – Deutsche Bank London

Model Risk Management, Climate Risk Stress Testing

Designing and Implementing Credit Risk

Case Study and Implementing Climate Risk Management