cd•CHRISTIANE
DELAZERI
PTENES

AML · FRAUD PREVENTION · OPERATIONS ENGINEERING

Risk under control.
Operations moving forward.

AML, KYC and fraud prevention consulting for casinos, iGaming, crypto exchanges and fintechs. From compliance strategy to the code behind your operations.

Let’s talkExplore my work

BASED IN BRAZIL. WORKING GLOBALLY.

CD / 01
Christiane Delazeri
STRATEGY MEETS IMPLEMENTATIONChristiane Delazeri
IGAMINGEXCHANGESFINTECHPAYMENTS

Experience at scale. Results in operations.

10+

years of experience

300+

professionals led across global operations

≈45%

reduction in incident resolution time in an automation project

≈78%

automatic pre-triage in a handwritten document workflow

Results from previous projects and specific scopes; not a promise of future performance.

01 / THE CONSULTANT

Global technology.
Experience that delivers.

10+

Over a decade across operations, technology and financial services, with leadership experience spanning LATAM, APAC and Europe.

I’m Christiane Delazeri, an operations, compliance and financial crime prevention leader. My experience combines the scale of global technology businesses with hands-on control design, case investigation and automation delivery.

In the Atlassian ecosystem, through e-Core, I led support and operations for enterprise products. At Deriv, my experience includes operations management and KYC team leadership. At Ruby Labs, my work brings together AML, fraud prevention and automation. This background lets me connect leadership priorities with the work of analysts, product and engineering.

Atlassian ACA-910 certification · ITSM with Jira Service Management Foundations

PROFESSIONAL EXPERIENCE

Ruby LabsAML, FinCrime and automated controls for digital operations.
AtlassianEnterprise technology support and operations leadership through e-Core.
DerivOperations Manager and KYC Team Lead in a global financial services environment.

Professional experience references, without commercial representation or endorsement by these companies.

02 / INDUSTRIES

Different risks.
Purpose-built approaches.

Controls need to reflect each business’s product, payment methods, user journey and operating model.

01

Casinos & iGaming

KYC, deposit and withdrawal reviews, multiple accounts, promotional abuse and fraud investigations.

Explore consulting ↗02

Exchanges & crypto

Onboarding, AML, crypto and fiat transaction reviews, investigations and escalation.

Explore consulting ↗03

Fintech & payments

Payment fraud, chargebacks, identity, cross-provider integrations and operational automation.

Explore consulting ↗

03 / HOW I CAN HELP

From a complex problem
to the next action.

Consulting for risk, compliance and operations leaders who need to establish, improve or automate their operations.

01

AML & compliance programs

Put controls into practice.

Design and review procedures, responsibilities, risk tiers and escalation paths.

DELIVERABLE

A documented operating program with clear priorities and owners.

02

KYC, KYB & identity verification

More consistent onboarding decisions.

Review journeys, verification criteria, vendors and handoffs between product and operations.

DELIVERABLE

Risk-proportionate verification flows and practical team guidance.

03

Fraud & transaction monitoring

Separate signal from noise.

Analyze patterns, calibrate alerts with real data and assess signal quality.

DELIVERABLE

Explainable rules and triage playbooks to support decisions.

04

Investigations & operations design

Bring method to difficult decisions.

Playbooks for account takeover, synthetic identities and abuse, with case reviews and team coaching.

DELIVERABLE

Consistent investigations, organized evidence and escalation criteria.

05

Compliance & operations automation

Reduce manual work with control.

Tool integration, data enrichment and workflow automation with SQL, n8n and code. AI where it adds value.

DELIVERABLE

Implementable, traceable workflows with human oversight where it matters.

06

Operational assessment & readiness

Know what to fix first.

Gap analysis, process reviews and improvement prioritization for growing operations.

DELIVERABLE

An action plan with sequencing, ownership and review criteria.

04 / PROJECTS & RESULTS

From hypothesis to
production controls.

Anonymized projects showing how I connect analysis, engineering and operations. These results belong to the contexts in which they were measured.

DATA-DRIVEN FRAUD PREVENTION

10 signals.
Explainable rules.

A detection system calibrated against percentile distributions of real data, rather than thresholds chosen by intuition.

Explore the technical approach
Challenge
Distinguish suspicious behavior from legitimate errors without overwhelming the team with alerts.
Implementation
Analysis of a sample of approximately 3,000 payments and 1,232 users. Percentile calibration, cross-provider decline code reviews and investigation of account connections.
A decision that mattered
One signal was removed because the data showed it could not separate legitimate from fraudulent accounts. The goal was evidence quality, not a larger rule count.
Calibration and signal quality

AI WITH OVERSIGHT

≈78%

automatic pre-triage in a handwritten card workflow, at an observed cost of US$0.019–0.022 per card.

Explore the technical approach
Challenge
Interpret handwriting without turning reading uncertainty into an automatic financial decision.
Implementation
Verification guided by registered information, field-specific confidence levels and escalation of ambiguous cases for review.
Outcome
Automated pre-triage with a human making the final decision. Language models were concentrated in the step that required interpretation.
Human review for the final decision

OPERATIONS AUTOMATION

2h → 12min

in the ticket assignment cycle in a previous project. Workflow automation also supported an approximately 45% reduction in incident resolution time.

Explore the technical approach
Challenge
Reduce delays in assignment, enrichment and handoffs while retaining traceability.
Implementation
Tool integrations, SQL and automation to organize information and remove repetitive manual handoffs.
Outcome
Faster measured workflows and a more consistent process for the team to operate and monitor.
Project-specific metrics

RELIABILITY ENGINEERING

Control at
every step.

Integrations and alerts designed to handle duplicates, authentication, infrastructure constraints and partial failures.

Explore the technical approach
Challenge
Sustain predictable automation at an operationally appropriate cost.
Implementation
Reserve-before-send deduplication, endpoint authentication, webhook signature validation and staged rollout through simulation, internal validation and production.
A decision that mattered
Batch processing adjusted to infrastructure limits, investigation of silent errors and deterministic logic for continuous monitoring.
From prototype to operations

HOW I APPROACH MY WORK

“Identifying risk is not enough.
You need to build the operation
that can respond to it.”
Christiane Delazeri

05 / HOW I WORK

Strategy, implementation
and knowledge transfer.

01

Diagnose

Understand the product, data, decisions and bottlenecks before proposing a solution.

02

Design

Define controls, responsibilities, evidence, review criteria and priorities.

03

Implement

Integrate tools, test scenarios and introduce workflows gradually.

04

Enable

Document decisions, prepare playbooks and equip the team to maintain operations.

TOOLS THAT SUPPORT CONTROL

SQL · n8n · Cloudflare Workers · APIs and webhooks · Slack · Chatwoot · language models

FREQUENTLY ASKED QUESTIONS

Before we start.

Does consulting include technical implementation?

Yes. Scope can combine assessment, control design, SQL, integrations, automation, documentation and team training. Deliverables depend on the problem and the company’s tools.

Do you work with casinos and exchanges?

Yes. My focus includes casino and iGaming operators, crypto exchanges, fintechs and payment businesses. The work centers on AML, KYC, fraud prevention and operational efficiency.

Does the solution have to use AI?

No. Clear rules and structured data can be handled with deterministic code. I use AI for tasks requiring interpretation, with confidence criteria and human review appropriate to the consequences.

How does an engagement start?

With a conversation about the challenge, operational context and intended outcome. We then define scope, deliverables and priorities. You can contact me through LinkedIn.

06 / LET’S TALK

What challenge will
we solve together?

Tell me what your operation needs to improve. We can start with the problem, your business stage and the outcome you’re aiming for.

Connect on LinkedIn

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