Module 1 — Assess current state
Baseline surveillance maturity across data quality, alert logic, case governance, and ownership.
Trade Surveillance Insights
This offering supports Swiss and global institutions in modernising surveillance controls across listed, OTC, and cross-venue activity with practical governance and implementation discipline.
Module 1 — Assess current state
Baseline surveillance maturity across data quality, alert logic, case governance, and ownership.
Module 2 — Define target utility
Design a practical utility model for scalable monitoring, transparent controls, and regulator-ready reporting.
Module 3 — Deliver in phases
Build a phased roadmap balancing false-positive reduction, operational efficiency, and risk coverage uplift.
Illustrative application contexts
Trade Surveillance Two-pager
Open PDFMachine Learning in Trade Surveillance White Paper
Open PDFTrade Surveillance Concept
Open PDFTeam for this offering
The team composition is adjusted to the offering scope, with profiles selected for execution depth, analytical rigor, and stakeholder coordination in Swiss financial-services environments.
Chongshuo Zhai
Consultant, Quantitative Finance
ETH and Swiss Finance Institute background with experience in quantitative finance, BIS data pipelines, and ML/AI model evaluation for market-abuse detection and regulatory reporting.
Why relevant here
Supports data-intensive design, model evaluation, analytics pipelines, and scalable delivery in regulated environments.
Benedikt Damann
Compliance and Anti-Financial Crime Consultant
Specialist in model risk governance, sanctions screening, transaction filtering, analytics, and PMO delivery for anti-financial-crime and payments environments.
Why relevant here
Brings surveillance-control, governance, validation, and audit-readiness expertise for model-based monitoring solutions.

Joao Vieira de Meireles
FS Business & IT Manager
15 years of professional experience, including 10 years of consulting across fund and asset servicing, brokerage, insurance, corporate banking, and wealth management.
Why relevant here
Leads transformation delivery, target-state design, cloud and AI-enabled platform initiatives, and coordination between business and technology stakeholders.