Financial Data Science Solutions
Global technology megatrends, regulatory developments, the competitive landscape and the rise of alternative data have been driving a paradigm shift in the capital markets ecosystem. Demand to find new avenues of alpha creation powered by data science techniques is at unprecedented levels. Acuity has been providing highly bespoke quantitative and technology-powered solutions to our buy-side and sell-side clients since 2005. To address growing demand in recent years, we launched a dedicated data science practice early in 2019 to provide unique and contextual insights based on artificial intelligence (AI) and machine learning (ML).
Financial Data Science Services – Support We Offer
We deliver transparent and return on investment (ROI)-driven data science solutions by leveraging a pragmatic four-pillar framework:
Data acquisition
Traditional data: financials, market data, operational metrics, macroeconomic data
Proprietary data: in-house data lake, subscribed data sources
Alternative data: individuals, businesses and machines
Data preparation
Exploratory data analysis: identify missing values, duplicates, imbalances
Data transformation: cleansing, structuring, enrichment, normalising, data splitting, tagging
Features engineering: using domain knowledge
Data analysis
Supervised machine learning
Unsupervised machine learning
Deep learning
Natural language processing, unstructured data mining
Stochastic/statistical modelling
Reporting and insights
Bespoke reporting: data, dashboards, data lakes, bespoke emails, reports
Proprietary outputs: signals on client-defined criteria, bespoke indices
Insights that are descriptive, diagnostic, predictive or prescriptive for different contexts
How we are different
Domain-centric solutions: 70+ data science professionals work closely with 1,000+ in-house fundamental analysts to create bespoke and contextual outcomes across asset classes
Meticulous scoping and solutioning process to identify key client challenges and formulate a milestone- and incremental gain-based framework with clear timelines
Ability to deliver scalable architecture and outcomes by partnering with our in-house team of 250+ technologists with proven experience in working with capital markets since 2003
What we have done
Investment Management Analytics Using Data Science for Asset Management
What we are proud of
10,000+
assets analysed
5+
external data pipelines built
NLP-Driven ESG Analytics: Enhance Portfolio Insights & Save Costs
What we are proud of
30
data fields analysed
10
alternative datasets sourced
Advanced Portfolio Performance Analytics for US Credit Fund
What we are proud of
100+
funds
6
strategies
Leading South African bank: Alternative data analysis to differentiate equity research
What we are proud of
500m+
real-estate property data points
4
websites
Data Analytics for Banks: $2M Savings & Improved Efficiency
What we are proud of
200mn+
data fields analysed
8mn+
alternative datasets sourced
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