-
13
years of partnership
-
80%
reduction in data-quality issues and alerts
-
1,000+
data sets managed across teams
CLIENT CHALLENGES
- The client – a USD10bn US-based quantitative hedge fund – mainly sought to enhance data ingestion and data quality controls by leveraging data engineering.
- Tasks included:
- Onboarding new data sets
- Cleansing, normalising, and standardising increasingly large amounts of data to maintain an efficient edge
- Operational support for productivity gains and revenue-related risk mitigation
OUR APPROACH
- Acuity Knowledge Partners assisted the client with staff augmentation, primarily focusing on data engineering to manage new/existing data pipelines and conduct back-testing/analysis.
- The team supported trading-related operations such as reconciliation and analysis affecting profit and loss, adjustments and corporate action (processing and research).
- Support activity also covered web scraping, vendor data sets, ingestion, standardisation, normalisation, testing, database, and alphas or output.
IMPACT DELIVERED
- Access to well-integrated specialist team with a mix of domain expertise and technical skills to support scalability
- Efficient data management and enhanced data quality to mitigate risks related to revenue/cost
- Effective change management and vendor communication by monitoring patterns
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