Risk & Fraud Analyst

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WHY THIS ROLE EXISTS

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HitPay's fraud surface spans card chargebacks across multiple acquirers, non-card

rails (PayNow, FPX, QRPH, GCash, TouchnGo, etc.), partner onboarding fraud, and the

post-transaction tail that pre-tx vendors don't catch — across SG/MY/PH/HK/AU/US.

We've built an automated detection stack that does the sweeping. What we need is a

human in the loop who can investigate every exception, decide what's real, action it,

and extend the toolset when a new fraud pattern shows up.

This is not a queue-clearing role. The automation produces the queue. You bring the

judgment, the partner conversations, the scheme and bank coordination, and the next

piece of automation.

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WHAT YOU'LL OWN

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Daily investigation of every fraud and risk exception surfaced by the automated stack:

- Post-tx fraud signals across all acquirers and rails

- Bust-out, mule-ring, scam-proceeds, payout-redirect, and ATO patterns

- ATV outliers, chargeback spikes, reserve adequacy, partner abandonment

- Onboarding red flags surfaced before payments are enabled

Chargeback and dispute lifecycle:

- Read a dispute and tell us in 60 seconds whether it's first-party fraud, true fraud,

or a real business having an outlier month

- Represent/defend where it's worth defending; concede where it isn't

- Spot the merchant whose chargeback curve is about to breach scheme thresholds before

it does

Decision and action on every flag:

- Payment/payout status decisions (suspend, hold, offboard, retain with monitoring)

- Reserve adjustments and reserve adequacy calls

- Partner outreach for business-model clarification when a pattern looks off

- Coordination with scheme risk teams (Visa/Mastercard), acquirers, and partner banks

- Closing every exception with a documented, audit-ready rationale

Tooling (this is the multiplier):

- When you see a fraud typology the current stack misses, extend it or build a new

detector for it

- Backtest every rule change against labeled good/bad cohorts before it goes live

- Every piece of automation you write is one fewer human-hour the team burns per week —

that's the job

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WHO YOU ARE

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Payments risk and fraud background, non-negotiable:

- 4+ years in payments/fintech fraud + risk ops, scheme-side fraud ops, or

acquirer/PSP merchant-risk

- You've personally worked chargebacks and disputes end to end — not just triaged them

- Working knowledge of card scheme dispute frameworks (Visa VCR / Mastercard dispute

rules), chargeback/fraud monitoring programs (VDMP/VFMP, ECM/EFM), reserves, and

merchant underwriting risk

- You can read a chargeback dispute, an unusual transaction pattern, or a partner's

website and tell us in 60 seconds whether the partner is a fraudster cashing out

stolen cards, a launderer with a real-looking storefront, or a real business having a

good month — and which signals separate them

- Exposure to non-card rail fraud (real-time payments, QR, wallet) is a strong plus

Technical, non-negotiable. You must be technical enough to:

- Query the data warehouse directly — write your own SQL against Snowflake, no analyst

middleman. You'll be doing this every day.

- Think in rules and thresholds — translate a fraud pattern you've spotted into a

concrete, testable detection rule (signals, thresholds, edge cases, expected

false-positive rate)

- Backtest before shipping — every rule change runs against labeled good and bad

cohorts before it goes live. No exceptions. If you don't know how to set up a

backtest, you're not ready for this role.

- Run and extend the existing automation stack — our detection skills are built on

Claude Code. You inherit them on day one and use them daily.

- Build new skills — when you spot a gap, you write the next detector yourself. Python

literate enough to read and modify a 200-line script and a YAML rule file without

help. We don't need a software engineer; we need an investigator who codes.

Judgment we can't teach:

- You push back when a detector flags a real partner that's just having a good month

- You don't suspend without evidence; you don't sit on evidence either

- You can tell the difference between stolen-card cash-out and laundering via a

real-looking storefront

- When something slips through, you write the post-mortem and the rule update lands the

same week

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HOW WE WORK

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- Read-only data warehouse access plus write-gated production access where the role

requires it

- Every detector is open to the team — when you build one, the rest of risk,

compliance, and the CEO can run it

- No ticket queues — the automation produces the queue; you work it and improve the

automation

- Direct line to the CEO on high-severity escalations and policy calls

- All exception and investigation trails are documented and audit-ready

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LOCATION & COMP

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Comp competitive with regional bank/fintech risk roles;

equity for the right hire.