Fintech Operations, Risk & Analytics Modernisation on AWS
The Coder Spot · Finance & Accounting
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Fintech platforms need scalable analytics to monitor operations, risk indicators, fraud signals, and transaction trends. This engagement assesses current analytics capabilities and defines a secure, AWS-aligned modernisation strategy.
Ideal for fintech platforms, financial operations teams, and risk and analytics leadership.
Show the rest of the publisher’s description (48 more lines)
**Key Features**
- **Operations & Risk Diagnostics:**
Assessment of transaction flows, operational KPIs, fraud controls, data latency, and regulatory constraints across fintech platforms.
- **AWS-Native Risk & Analytics Architecture:**
A future-state architecture for real-time transaction monitoring, fraud detection, risk scoring, and compliance-aligned analytics.
- **Real-Time Fraud, AML & Risk Processing:**
Event-driven patterns for anomaly detection, AML checks, dispute indicators, and high-volume transaction analytics.
- **Unified Data Lake & Transaction Store:**
A governed data foundation for transactions, behavioural signals, operational telemetry, and risk datasets.
- **Analytics & KPI Insights:**
Standard analytics patterns for transaction anomalies, payment performance, exposure trends, reconciliation gaps, and compliance metrics.
- **Regulatory-Ready Security & Compliance Baseline:**
Controls aligned with PCI DSS, SOC 2, and financial regulations, covering IAM boundaries, encryption, audit logging, and monitoring.
- **KPI Dashboards:**
Operational, risk, compliance, and fraud dashboards built on standardised, governed datasets.
- **AI-Driven Risk & Fraud Intelligence:**
Support for fraud prediction, behavioural scoring, credit-risk modelling, and real-time anomaly alerts.
- **Modernisation Roadmap:**
A sequenced plan for operational uplift, risk automation, fraud intelligence, and AI maturity.
**Deliverables**
- **Current-State Assessment Documentation:**
Documentation covering operational diagnostics, data quality findings, risk workflow analysis, reporting maturity, and compliance posture.
- **Target AWS Architecture Blueprint Pack:**
Architecture diagrams and specifications covering data lake and transaction storage design, streaming patterns for fraud and AML, analytics stack design, and governance alignment.
- **Fintech Data Governance & Standards Kit:**
A set of artefacts covering data classification, retention standards, lineage and cataloguing rules, access-control models, and compliance-ready data handling procedures.
- **Fraud & Risk Pipeline Design Documents:**
Technical designs for ingestion and scoring workflows, AML and anomaly-detection patterns, reconciliation logic, dispute handling integrations, and event routing.
- **Reporting & Dashboard Specifications:**
KPI definitions, dashboard wireframes, data models, and metric rules for operational, risk, compliance, and fraud dashboards.
- **AI/ML Enablement Assets:**
Guidance covering feature engineering, model evaluation criteria, risk-scoring pipelines, and deployment patterns for SageMaker or EKS.
- **Security & Compliance Controls Package:**
A documented control set covering IAM policies, encryption strategies, logging and monitoring baselines, audit trail templates, and compliance evidence models.
- **Phased Modernisation Execution Plan:**
A prioritised delivery plan covering foundation setup, analytics uplift, fraud and risk automation rollout, and staged AI or ML adoption.
- **Implementation & Rollout Guidance:**
A practical execution guide covering PoC validation, data onboarding, dashboard rollout, and go-live readiness.
**What You Will Achieve**
- Modern analytics architecture on AWS
- Improved operational and risk visibility
- A clear roadmap for analytics and AI adoption
**Business Value**
- Reduced operational risk
- Improved compliance visibility
- Faster data-driven decisions
**Engagement Timeline**
Delivered as a structured engagement, typically completed within 3 to 6 weeks.
Highlights
Highlighted by the publisher on AWS Marketplace.
Fintech analytics modernisation on AWS for operations, fraud, risk, and compliance visibility
Build real-time transaction monitoring, risk scoring, and fraud analytics with AWS-native architecture
Improve operational resilience and decision-making with governed fintech data and AI foundations
Agent build and provenance
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