TANG YONG SHANGPAYMENTS / RISK / STRATEGY

APAC PERSPECTIVE. HUMAN JUDGEMENT.

See the patterns.
Make the right
decisions.

I’m Yong Shang. I turn payment data into practical fraud controls, clear decisions, and better customer experiences.

Open to leadership roles & consulting conversations

Tang Yong Shang
ANALYTICAL MIND.
PEOPLE-FIRST APPROACH.
01 / INTRODUCTION
EXPERIENCE BUILT ACROSSCybersource a Visa solutionApple

Merchant · Acquirer · Issuer · Customer

01 — ABOUT

Behind every payment,
there’s a person.

Good risk decisions protect both the business and the people it serves.

Across 15+ years in customer operations and fraud risk, I’ve worked across merchant, acquirer, issuer, and customer environments. My focus is finding the patterns behind payment fraud, strengthening detection, and protecting legitimate transactions.

I care just as much about making those findings useful to clients, colleagues, and senior leaders. I’m at my best where analytical investigation, risk judgement, and collaboration meet.

15+Years across operations & risk
APACRegional managed-risk delivery
4Analysts coached across two cities

HOW I WORK

From signal to action.

01 Investigate +

Use transaction analysis to understand patterns, segment risk, and identify what needs closer attention.

02 Design & test +

Translate findings into targeted detection rules. Test control behaviour and consider the effect on legitimate customers.

03 Monitor & refine +

Review fraud, chargeback and approval trends after deployment. Tune controls as behaviour changes.

04 Align & lead +

Turn analysis into clear recommendations, partner across teams, and coach analysts to exercise sound judgement.

02 — SELECTED WORK

The thinking behind
the outcome.

Case studies are taking shape.
Explore the planned stories below.

03 — THE ANALYTICS LAB

A clearer view.
A better conversation.

Explore a sample payment-performance dashboard.
Change the region or metric to see the story shift.

Payment performanceSYNTHETIC DEMO DATA

Illustrative six-month cohort • Jan–Jun

Metric definitions & interpretation

Values are invented to demonstrate dashboard interactions. They do not represent client performance, personal achievements, benchmarks, or scheme monitoring calculations. Figures shown on the cards are June values. Fraud and chargeback indicators can mature after the original transaction period; comparable cohorts and reporting windows matter.

A demonstration of the kinds of questions a dashboard can support. SQL · Tableau · Transaction analysis · Executive reporting

04 — EXPERIENCE

Deep in the detail.
Broad in perspective.

From customer conversations to APAC risk leadership.

Read my resume ↗
2023 — 2026 / CYBERSOURCE, A VISA SOLUTION

Senior Manager,
Managed Risk Services

+

Led APAC managed-risk delivery across Southeast Asia, Greater China, and India and South Asia. Coached four analysts across Manila and Mumbai, advised senior risk stakeholders, and partnered with Product, Engineering and client teams.

2021 — 2023 / CYBERSOURCE, A VISA SOLUTION

Senior Managed Risk Analyst
(Manager)

+

Managed APAC acquirer and merchant portfolios. Used SQL and Tableau to investigate payment patterns and owned fraud strategy from rule design and testing through deployment and performance reviews.

2017 — 2021 / CYBERSOURCE, A VISA SOLUTION

Managed Risk Analyst

+

Advised merchants on online payment risk, designed monitoring rules, delivered performance reporting, and supported onboarding, go-live configuration and client workshops.

2014 — 2017 / APPLE SOUTH ASIA

iTunes Fraud Prevention
Team Lead

+

Led a fraud-review team investigating card-not-present transactions and customer accounts. Supported regional decision quality, analyst coaching and global fraud-trend communication.

2010 — 2014 / APPLE SOUTH ASIA

Customer operations

+

Supported customers across Asia as a Customer Service Representative and Greater China Product Specialist, with experience in reporting, internal-tool UAT and knowledge sharing.

05 — FRAUD TRENDS & PERSPECTIVES

Stay curious.
Look beyond the obvious.

A reading shelf for a changing payments landscape.
External research, with room for my future commentary.

01 / VISA · SPRING 2026

Scams, social engineering
and the changing shape of fraud.

Read source ↗
02 / VISA · FALL 2024

Enumeration remains
a payment ecosystem threat.

Read source ↗

LET’S CONNECT

Better payments start
with a conversation.

Building a stronger risk team? Rethinking fraud controls?
I’m open to senior roles and consulting conversations.

View resume & contact details ↗

CASE STUDY PREVIEW

This space is reserved for an anonymised account of my work. The full story and verified outcomes will be added here.

01

The challenge

Context, business priorities, and the problem to solve.

02

The investigation

What I examined and how the evidence shaped my judgement.

03

My contribution

Decisions, actions, and collaboration with the people involved.

04

The outcome

Verified results, lessons, and what changed.

Outline only — no client results are claimed.