STP for ETRM Systems — Design & Implementation

Build reliable, auditable and fully automated Straight Through Processing (STP) for your ETRM platform — trade capture, valuations, confirmations, settlements, and regulatory reporting — with minimal manual intervention.

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Format: Self-paced + Instructor-led labs · Duration: 6–10 weeks · Certificate: Yukti Certified STP for ETRM Engineer

Program Snapshot

  • • Design STP pipelines for trade lifecycle (capture → validation → enrichment → downstream flows)
  • • Integrate with ETRM platforms and downstream systems (settlement, accounting, clearing)
  • • Cover validation, mapping, orchestration, reconciliation and exception handling
  • • Include test automation, monitoring, SLOs and audit trails

What is STP in ETRM?

Straight Through Processing (STP) for ETRM automates the full trade lifecycle from ingestion to settlement — reducing manual touchpoints, increasing throughput, lowering operational risk and ensuring regulatory traceability. This course teaches design, engineering and governance required to deploy STP in production.

Target audience

ETRM developers, integration engineers, trade operations, data engineers, and solution architects.

Key outcomes

Deliver STP pipelines, mapping libraries, automated validation, reconciliation processes and monitoring dashboards.

Pre-reqs

Familiarity with ETRM concepts (trade, deal legs, valuations), basic SQL, and one integration technology (REST/FTP/Kafka).

Curriculum — Modules & Learning Path

Modular course covering STP architecture, data contracts, validation engines, orchestration, monitoring and SRE practices.

Module 1 — STP Fundamentals & Trade Lifecycle

  • Trade lifecycle: capture, enrichment, validation, confirmation, settlement, accounting
  • Common failure points & manual interventions
  • Business/Operational SLAs for trade processing

Module 2 — Integration Patterns & Interfaces

  • ETRM connectors
  • Tech patterns: REST, SOAP, MQ/EMS, Kafka, SFTP, file-based transfers and API gateways
  • Designing resilient adapters and idempotent producers

Module 3 — Data Contracts & Canonical Models

  • Defining canonical trade objects, versioning and schema governance
  • Using Avro/JSON Schema/Protobuf for message schemas
  • Mapping rules to platform-specific models

Module 4 — Validation Engine & Business Rules

  • Heavy vs light validation: syntactic, semantic and business validations
  • Rule engines, declarative rules (Drools/JSON rules), and testable rule suites
  • Auto-correction, enrichment and confidence scoring

Module 5 — Orchestration & Workflow

  • Orchestration engines: Airflow, Temporal, Zeebe, Argo Workflows, bespoke engines
  • Long-running processes, compensation actions, and human-in-the-loop patterns
  • Parallelization, batching and backpressure handling

Module 6 — Reconciliation & Exception Handling

  • Reconciliation types: trade-level, cash, confirmations, valuations
  • Automated reconciliation engines and exception queues
  • Operational UI patterns for resolution and audit trails

Module 7 — Testing, Simulation & Test Data

  • Integration testing, contract testing, end-to-end simulations
  • Test data management, synthetic trade generators and replay tools
  • Regression testing pipelines & shift-left testing

Module 8 — Observability, SLOs & Ops Playbooks

  • Metrics, tracing, structured logs and dashboards (OpenTelemetry, Prometheus, Grafana)
  • SLO definitions, alerting, incident playbooks
  • Audit trails for regulatory compliance and forensics

Reference Architecture & Patterns

Practical blueprints and patterns to implement STP at scale for ETRM.

End-to-End Flow (high level)

  1. Ingest: trade capture (front-office), file drops, broker feeds, or APIs
  2. Normalize: map to canonical model and add reference enrichment
  3. Validate: execute rule engine and business validations
  4. Orchestrate: route to ETRM, confirmations, clearing, settlement
  5. Reconcile: compare downstream systems, auto-resolve or route to ops
  6. Archive & Audit: store events, messages and reconciliations for compliance

Key Technology Choices

  • Messaging: Kafka for high-throughput events vs MQ/SFTP for legacy partners
  • Orchestration: Temporal/Argo/Elastic workflows for reliability and retries
  • Schema: Avro/Schema Registry or Protobuf for contract enforcement
  • Storage: OLTP DB for state + event store (Kafka topic / DB), data lake for analytics
Integration with ETRM platforms: design adapters to ensure idempotency, correlation ids, and reversible actions for reconciliation.

Hands-on Labs & Exercises

Practical labs that build a working STP pipeline and cover common operational scenarios.

Lab 1 — Trade Ingestion & Canonicalization

Build an adapter that ingests CSV and API trade messages, normalize to canonical JSON, register schema and store sample events in Kafka.

Lab 2 — Validation Engine

Implement declarative validation rules using a JSON rules engine; write unit tests and policy-driven rule sets for business owners.

Lab 3 — Orchestration & ETRM Interaction

Use Temporal/Argo to orchestrate flows: call an ETRM REST endpoint (mock), wait for valuation, post confirmation and persist state transitions.

Lab 4 — Reconciliation Engine

Create reconciliation rules between ETRM output and settlement system; auto-resolve low-risk diffs and generate exception tickets for others.

Lab 5 — Test Harness & Scenario Replay

Build a replayable test harness to inject historical trades and assert processing SLAs across the pipeline.

Lab 6 — Observability & Alerting

Instrument metrics, traces and logs; create Grafana dashboards and configure SLO alerts for processing latency and error rates.

Testing, QA & Compliance

Rigorous testing is essential for STP. We cover unit, integration, contract, performance and regulatory testing strategies.

Contract Testing

Use Pact/Schema Registry to validate producer-consumer contracts and prevent breaking changes.

Performance & Load

Load test trade throughput and settlement system interactions; establish throughput baselines and capacity planning.

Regulatory Testing

Test auditability, retention policies and reporting extracts against regulatory requirements (MiFID II, REMIT, local rules).

Course Deliverables

  • Working STP pipeline code samples (ingest, validate, orchestrate, reconcile)
  • Canonical schema library and mapping templates
  • Test harness, synthetic trade generator and replay scripts
  • Monitoring dashboards, runbooks, and incident playbooks
  • Certificate: Yukti Certified STP for ETRM Engineer

Pricing & Delivery Options

Self-paced

Contact

Recorded modules, code samples and lab guides.

Cohort (Instructor-led)

Contact

8-week cohort with live labs, mentoring and capstone review.

Enterprise

Custom

Private cohorts, on-site delivery, CICD integration and production runbook creation.

Contact & Custom Requests

Want an enterprise quote, private cohort, or a customized syllabus? Tell us about team size, preferred delivery and target outcomes.