Digital First Retail Bank

BFSI • Digital First

Developing a Predictive KYC Risk Scoring and Fraud Detection Engine

A digital first retail bank serving individual and small business customers relied heavily on digital channels for account onboarding and transactions.

Project Duration: 6 months
Developing a Predictive KYC Risk Scoring and Fraud Detection Engine

Key Results

Proactive
Risk Identification
Predictive risk scoring enabled early identification of high-risk customers during onboarding
Reduced
Fraud Exposure
Behavioural and transactional intelligence helped detect suspicious activity earlier
Improved
Regulatory Compliance
Risk based decisioning supported stronger KYC, AML and monitoring controls
Faster
Customer Onboarding
Low risk customers experienced smoother and quicker onboarding journeys
Operational
Efficiency
Automation reduced manual review effort for compliance and fraud teams

The Challenge

  • Traditional KYC processes relied heavily on static rules and manual reviews.
  • Fraud patterns evolved rapidly across digital onboarding and transaction flows.
  • The bank lacked a unified risk view across identity verification and transactional behaviour.
  • Manual risk assessments slowed onboarding and increased operational cost.
  • False positives led to unnecessary customer friction and escalations.
  • The institution required a predictive and explainable risk model aligned with regulatory expectations.

Our Solution

Techno Consultancy designed and implemented a predictive risk scoring and fraud detection framework that evaluated customer risk continuously across onboarding and transaction stages. The solution combined identity signals, behavioural data, and transaction patterns to support real time and ongoing risk assessment.

Why Techno Consultancy?

Deep BFSI Risk and Compliance Expertise

Solutions aligned with KYC, AML requirements and regulatory expectations.

Predictive and Explainable Models

Focused on transparency and audit readiness rather than black box scoring.

Lifecycle Oriented Approach

Addressed risk across onboarding and ongoing transactions, not in isolation.

Scalable Architecture

Designed to handle high volumes of customers and transactions securely.

Conclusion

By developing a predictive KYC risk scoring and fraud detection engine, Techno Consultancy UK Limited enabled the digital retail bank to proactively manage customer risk across onboarding and transactions. The solution reduced fraud exposure, improved compliance effectiveness, and created a scalable foundation for risk based digital banking operations.

Technologies Used

Predictive Risk Scoring ModelsIdentity and Behavioural AnalyticsTransaction Pattern AnalysisRisk Based Decision FrameworksHuman Review and Escalation WorkflowsCompliance Monitoring and Audit Controls

Project Team

Data Science and Fraud Analytics Specialists
“
Techno Consultancy worked closely with our teams to design and deliver a predictive risk framework that integrated smoothly into our onboarding and transaction flows. Their collaborative approach and understanding of BFSI risk helped us strengthen fraud detection while improving operational efficiency.
C

Client Testimonial

Project Overview

Industry:

BFSI

Company Profile:

Digital First

Duration:

6 months

Team Size:

1 specialists

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