Data Warehousing
Build structured financial data environments designed for analytics, reporting and long-term data accessibility.
API Integration
Connect financial systems and external data providers programmatically, allowing information to flow directly into analytical and operational workflows.
Automated Reporting
Replace repetitive data collection and spreadsheet-based reporting with automated processes that produce consistent, timely outputs.
Dashboard Infrastructure
Build the underlying data models and pipelines required to support reliable investment, performance and operational dashboards.
Reference & Master Data
Create consistent definitions and identifiers across securities, portfolios, entities, benchmarks and other core financial data.
Workflow Automation
Automate repetitive data and analytical processes, reducing manual effort while improving consistency, traceability and control.
From fragmented data to usable infrastructure.
Our objective is not simply to move data from one system to another.
We build data environments that make financial information reliable, accessible and reusable — so that analytics teams can spend less time preparing data and more time using it.
Built for financial data
Financial data is rarely simple. Market data, portfolio holdings, transactions, reference data, accounting records and third-party datasets often exist across different systems, formats and providers.
We build the infrastructure that connects them.
Data Integration
Connect data from portfolio systems, custodians, market-data providers, spreadsheets, databases and external platforms into a consistent analytical environment.
Data Pipelines
Design reliable processes that ingest, transform, validate and deliver data automatically — reducing manual intervention and making critical workflows repeatable.
Data Quality & Validation
Identify missing, inconsistent, duplicated or anomalous data before it reaches downstream analytics and reporting.
Data Normalisation
Transform disparate datasets into consistent structures, definitions and formats so that information can be compared, analysed and reused reliably.
Data Solutions
Data Solutions
Financial analytics are only as reliable as the data beneath them.
ScalaQuant designs and builds financial data solutions that bring fragmented information together, improve its quality and consistency, and make it available wherever it is needed — from analytical models and investment reporting to dashboards and automated workflows.
We work across the data lifecycle, from integrating external and internal sources through to structured storage, transformation, validation and delivery.
Performance, risk and quantitative analytics for investment firms.
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