💰 FinTechOn Time📋 Fixed Price

FinTech RegTech Automated Regulatory Reporting — UK Investment Bank

UK6 min readUpdated February 2026
Region
UK
Contract
Fixed Price
Tech Stack
14 Technologies
IP
100% transferred

Project Overview

A UK tier-1 investment bank with £840B assets under management, 48 regulatory reporting obligations (FCA, PRA,...

Technology Stack

Python/FastAPIReactRedshiftdbtKafkaAWS GlueS3Great ExpectationsDTCC GTR APIFCA RegData APIBoE BSS APIGLEIF LEI APIBloomberg OpenFIGI APIAWS eu-west-2

Compliance & Standards

FCA Supervisory Data ReturnsPRA Corep/FinrepBoE Statistical ReturnsMiFID II UK Transaction ReportingEMIR UK Trade ReportingUK GDPRCyber Essentials PlusISO 27001
Step 01

The Challenge

A UK tier-1 investment bank with £840B assets under management, 48 regulatory reporting obligations (FCA, PRA, Bank of England, ESMA post-Brexit UK retention), and an estimated £28M annual cost of regulatory reporting (420 full-time equivalents) needed to modernise their regulatory reporting technology stack — replacing a combination of SAS reporting scripts, Excel-based reconciliations, and manual XML generation. FCA Supervisory Data Returns, PRA Returns (Corep/Finrep), BoE statistical reporting, EMIR (UK), MiFID II transaction reporting, CFTC (cross-border), and UK GDPR for employee and counterparty data were mandatory. Budget: £200,000.

Step 02

Our Approach

Regulatory reporting data architecture

single source of truth (SSOT) for all regulatory submissions.

Trade data lake

trade booking systems → Kafka (real-time trade event stream) → S3 raw zone (immutable trade event log) → AWS Glue (regulatory ETL — trade data transformed to regulatory schema) → Redshift (regulatory data warehouse).

Trade data quality

Great Expectations (automated data quality tests — trade completeness, counterparty LEI validity, instrument ISIN validation) before regulatory ETL.

Audit trail

every regulatory submission has an immutable lineage (raw trade event → ETL transformation → regulatory field mapping → submission XML/JSON).

PRA requirement

regulatory data retained 7 years (S3 Intelligent-Tiering with 7-year lifecycle policy).

FCA Supervisory Data Returns

quarterly submissions via FCA RegData portal.

Key returns

FSA001 (capital adequacy), FSA002 (credit risk), FSA028 (liquidity — LCR).

Automation

Redshift (regulatory data warehouse) → dbt (risk-weighted asset calculation models) → XBRL generation (FCA RegData uses XBRL format — EBA taxonomy) → FCA RegData API submission.

XBRL validation

XBRL taxonomy validation before submission (FCA RegData rejects invalid XBRL — automated pre-submission validation).

Reconciliation

  • total RWA reconciled against management accounts before submission (automated — any variance &gt
  • 0.1% triggers manual review flag).

PRA parallel submission

same underlying data generates both FCA and PRA returns — single calculation, multiple submissions.

MiFID II UK Transaction Reporting via ARM

MiFID II UK (retained post-Brexit): investment firms must report all transactions in financial instruments to FCA via ARM.

Transaction report

  • 65 mandatory fields (instrument ISIN, LEI, price, quantity, execution venue, execution time).
  • DTCC GTR (Approved Reporting Mechanism): transaction report submission.

Automation

trade execution → Lambda (transaction report generator — 65 fields from trade data) → DTCC GTR API (T+1 deadline).

LEI validation

GLEIF API (Global LEI Foundation — validate all counterparty LEIs before submission).

ISIN validation

Bloomberg OpenFIGI API.

Rejection handling

DTCC GTR returns rejection codes — automated re-processing with corrected data.

Daily rejection rate target

  • &lt
  • 0.1% (current industry average: 1.8%).

Bank of England statistical returns

  • IADB (Integrated ALCO Data Base), CDIS (Capital Data and Integration System).
  • BoE BSS (Bankstats Submission System): bank statistics via BoE API.
  • EMIR UK (retained): derivative trade reporting to DTCC UK repository (equity, credit, interest rate, FX derivatives — all must be reported).

EMIR fields

  • UTI (Unique Trade Identifier), LEI, trade type, product identifier (CFI code), notional, maturity, collateral.
  • Double-sided

EMIR reporting

both counterparties must report — for client trades, bank reports on behalf of client (delegated reporting).

EMIR reconciliation

counterparty breaks (discrepancies between bank and counterparty EMIR reports) managed via automated break detection and notification workflow.

Step 03

The Results

FCA, PRA, and BoE compliance confirmed.

Platform live at 28 weeks, £184,000 — under budget. 48 regulatory obligations automated.

Annual cost reduction: £18.4M (£28M → £9.6M — 34% reduction, 420 FTE → 280 FTE through redeployment).

MiFID II transaction reporting rejection rate: 0.04% (industry benchmark: 1.8%).

EMIR counterparty breaks: 0.8% (industry benchmark: 3.2%).

XBRL validation: 100% first-submission acceptance.

Regulatory data lineage: 100% (every submission traceable to source trade).

PRA SREP review: zero regulatory capital add-on from data quality issues.

Client Testimonial
£18.4M annual cost reduction. 420 FTE to 280 FTE through redeployment — not redundancy. MiFID rejection 0.04% versus 1.8% benchmark. EMIR breaks 0.8% versus 3.2% benchmark. Zero regulatory capital add-on from data quality. XBRL 100% first-submission. PRA SREP: data quality noted as a strength. ClickMasters built 48 regulatory obligations into a single, coherent data architecture. Most RegTech vendors solve one problem. ClickMasters solved all 48 simultaneously." — Chief Regulatory Officer, UK Tier-1 Investment Bank (name withheld)
ClickMasters Case Study Team
Reviewed by James Whitmore, CTO

Project Details

Sector
FinTech
Country
UK
Status
On Time
Contract
Fixed Price
Tech Stack
14 Technologies
Reading Time
6 min
IP Ownership
100% transferred
Last Updated
February 2026
Written By
ClickMasters Case Study Team
Reviewed By
James Whitmore, CTO

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