Data Engineering - Acuity Knowledge Partners

Data Analytics for Financial Services

Global technology megatrends including rise of AI, regulatory developments, market volatility driven by geopolitical changes, ESG mandates, and quantum of data surging to zettabytes are creating a complex operating environment for the financial services industry.

To adapt to the new normal, financial services CXOs across the globe are actively driving strategic and transformative changes within Investment Banks, Commercial Banks, Asset Management firms, Hedge Funds and Private Equity firms.

Acuity’s Data and Technology Services (DTS) practice has been a trusted partner to financial services since 2005. With the contextual partnership, our clients have been able to differentiate offerings, enhance competitiveness, generate alpha, and drive efficiency gains.

Who we serve

Corporate, Commercial and Investment Banks

Asset Management

Private Markets

Data Management Services

From scalable data ingestion to contextual insight-covering
the entire data lifecycle

Data Infrastructure

Market data sources, policy available data, big data alternative data

Data Transformation

Process, manage and distribute data in collaboration with end users and engineers

Data Analysis

Generate contextual insights to enable decision making from underlying data set

Our Data Management Framework
for Financial Services

ACQUIRE

Traditional data: financial, market data, operational metrics, macro economics
Proprietary data: in-house data lake, subscribed data sources
Alternative data: individuals, business and machines

PREPARE

Data transformation: cleansing, structuring, enrichment, normalizing, data splitting, tagging
Exploratory data analysis: identify missing values, duplicates, imbalances
Features Engineering

ANALYSE

Supervised machine learning
Unsupervised machine
learning
Deep learning
Natural language processing, Unstructured data mining
Stochastic/statistical modeling

REPORT

Bespoke reporting: data, dashboards, data lakes, bespoke emails, reports
Proprietary outputs: signals on client-defined criteria, bespoke indices
Insights which are descriptive, diagnostic, predictive or prescriptive for various contexts

Why Acuity?

Domain Centric

70+ data science professionals work closely with 1,000+ in-house fundamental analysts to create bespoke and contextual outcomes across asset classes

Empathetic Approach

Meticulous scoping and solutioning process to identify key client challenges and formulate a milestone- and incremental gain-based framework with clear timelines

Performance Oriented

Ability to deliver scalable architecture and outcomes by partnering with our in-house team of 250+ technologist with proven experience in working with capital market since 2003

Tailored Solutions for Banks,
Asset Managers, and Private Markets

Assets Management

AI-powered ESG Analytics for portfolio managers with automated coverage of holdings
Select and analyse large volumes of alternative data to create differen-tiated, value-add and anti-consensual research
Bespoke algorithms and baskets to facilitate thematic investments
Accelerate alpha research with in-depth Alpha Performance reporting
Non-linear factor modeling for systematic investment strategies

Private Market

Pricing analytics to optimize commercial strategies for portfolio companies
Scalable target screening and anomaly detection using alternative data
Identify emerging investment themes using AI
Analyse shareholding and trading patterns to derive exit intelligence
Pre-investment analysis for optimal deal sourcing

Banking

Re-engineering and transforming credit risk data of underlying portfolios for automation and cost reduction
Machine learning (ML) for Advanced Enterprise Content Management (ECM) analytics delivering real-time equity issuance decisions
Customer attrition analytics, product strategy analytics, branch analytics and consumer household insights for consumer banks