Data Analytics & Management for Financial Services

Data Analytics for Financial Services

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

To adapt to the new normal and gain a competitive edge, CXOs of financial institutions across the globe are actively implementing real time data-driven 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 this contextual partnership, our clients have been able to differentiate offerings, enhance competitiveness with predictive analytics, take informed decisions to generate alpha, and redefine customer experience, thus making them operationally efficient.

Who we serve

Corporate, Commercial and Investment Banks

Asset Management

Private Markets

Financial Data Analytics Services

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

Data Infrastructure

Data discovery
Data ingestion
Data pipeline

Data Transformation

Data processing
Data tagging
Data architecture

Data Analytics

Advanced analytics
BI / visualization
AI / machine learning (ML) solutions

Our Data Management Framework
for Financial Services

ACQUIRE

Traditional data: Financials, market data, operational metrics and macroeconomic
Proprietary data: In-house data lake and subscribed data sources
Alternative data: Individuals, business and machines

PREPARE

Data transformation: Cleansing, structuring, enrichment, normalising, data splitting and tagging
Exploratory data analysis: Identifying missing values, duplicates and imbalances
Features Engineering

ANALYSE

Supervised machine learning
Unsupervised machine learning
Deep learning
Natural language processing and unstructured data mining
Stochastic/statistical modelling

CONSUME

Bespoke reporting: Data, dashboards, data lakes, bespoke emails and reports
Proprietary outputs: Signals on client-defined criteria and bespoke indices
Insights that are descriptive, diagnostic, predictive or prescriptive in different contexts

Our Technology Expertise

Snowflake

Databricks

Python

AWS

Power BI

Tableau

SAS

R Programming Language

Google Cloud

Microsoft Azure

Looker Studio

Connect with Experts

Why Acuity?

Domain Centric

1000+ technologists work closely with 4,800+in-house research experts to create bespoke and contextual outcomes across asset classes

Pragmatic RoI-Driven Approach

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

Robust Solution-Oriented Framework

Our data analytics framework is modular across the data acquisition, preparation, analytics and reporting stages, thus enabling a tailored approach that can unify or overhaul existing processes to drive efficiency.

Tailored Solutions for Banks,
Asset Managers, and Private Markets

Banking

Re-engineering and transforming credit risk data of underlying portfolios for automation and cost reduction
Machine learning (ML) for advanced Equity Capital Markets (ECM) Analytics delivering predictive equity issuance decisions
Customer attrition analytics, product strategy analytics, branch analytics and consumer household insights for consumer banks

Asset Management

AI-powered ESG analytics for portfolio managers, with automated coverage of holdings
Select and analyse large volumes of alternative data to create differentiated, value-added and anti-consensual research
Bespoke algorithms and baskets to facilitate thematic investments
Accelerate alpha research with in-depth reporting pg alpha performance
Non-linear factor modelling for systematic investment strategies

Private Market

AI-powered automation of deal origination and due diligence to optimise time and costs
Pricing analytics to optimise 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