Data & Intelligencefor Swiss Financial Institutions

282teq develops reliable, auditable data solutions for compliance, regulatory reporting and financial decision-making — from institutional complexity to working financial-data solutions.
5+ TB
tabular data in production
10,000+
database tables
Data Vault 2.0
dynamic data architecture
In production
largest implementation to date
Production proof

Built in banking. Proven in production.

Our work supports critical regulatory and analytical processes at a medium-sized Swiss bank.

We know the challenges of financial data not only from advisory projects, but from designing, building and operating the infrastructure on which these processes depend.

Sanctions
Analytical processes for a changing sanctions environment
MROS
Processes related to money-laundering reporting
Regulatory reporting
Reliable, auditable reporting processes
Audit & risk
Audit, risk-appetite monitoring and ad-hoc analysis
How 282teq works

From institutional problem to production implementation

Our work spans the complete problem-solving chain — particularly valuable when requirements are new, ambiguous or unusual and an existing software product does not already provide the answer.

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01
Understand the institutional problem
02
Formalize the analytical requirement
03
Identify the relevant data
04
Design the architecture
05
Implement the solution
06
Integrate into production
07
Operate and control it
Solutions

Solutions for complex regulatory and financial-data problems

Compliance and regulatory analytics, regulatory data controls, and the financial-data infrastructure required underneath them. We combine bespoke problem-solving with reusable technology where this creates a better and more reliable solution.

Capabilities

Institutional understanding. Technical execution.

Banking systems and financial data, financial data engineering, regulation and sanctions, quantitative finance and risk, and applied AI and machine learning. The differentiator is not any single technology or academic credential, but the combination.

A difficult regulatory, analytical or financial-data problem?

We are particularly interested in problems where regulatory requirements, financial expertise and complex data meet.

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