Centralised risk data warehouse including APIs for a bulge bracket investment bank

  • Reduced cost by 40%

  • Extracted over 500 market indicators time series data from source providers

  • Made one centralised repository accessible through APIs

  • A top-15 US commercial bank with a well-diversified loan portfolio
  • Key challenges were:
    • Slower market response time
    • Inadequate client-facing time for portfolio managers
    • Increasing regulatory pressure
    • Difficulty to retain onshore talent
    • High cost of function
  • Set up a pyramid-based offshore team based on the complexity of work
  • Ensured a well-structured training and roll-out plan
  • Targeted delivering urgent spreads/quotes within 24 hours, completed all reviews within the regulatory deadline and produced high-quality output
  • Provided support in standardising the review templates, new money transactions, reviews for portfolio purchase transactions, UAT for new risk-rating platform and response to regulatory queries
  • Achieved an overall improvement in productivity of 10-15% across different support functions


  • Conducted a detailed white-boarding session to scope out support levels and complexity
  • Achieved a 40% reduction in costs by deploying highly skilled technology and quants subject matter experts
  • Integrated third-party APIs to facilitate over 500 market indicators time series data pulled from source providers
  • Stored firm-wide scenario definitions in one centralised repository exposed through APIs
Thank you for sharing your details

Your file will start downloading automatically

If it does not download within 1 minute,

Share this on

What we have done

Data tagging and analysis focused on fundamental sub-sector equity strategy
What we are proud of

800+ merchant names tagged

Optimised and scalable solution across datasets and sectors

Enterprise-level data management powered by analytics
What we are proud of

Expertise in market data

Handled end-to-end data-pipeline transformation for more than 1,000 datasets

US asset manager: Non-linear factor modelling for systematic investment strategies
What we are proud of


assets analysed


external data pipelines built

Global asset manager (AuM: USD700bn+): Natural language processing for ESG investing
What we are proud of


data fields analysed


alternative datasets sourced

US private credit fund: Automated and self-service analytics for enhanced portfolio insights
What we are proud of