Sky States
Fraud Detection Specialist — Full Role Description
A Fraud Detection Specialist identifies, prevents, and investigates fraudulent activity across transactions, accounts, user behavior, and systems. The role blends analytical investigation, real‑time risk monitoring, and cross‑functional coordination to reduce losses and protect customers and the business.
Key responsibilities Monitor real‑time transactions and account activity; assess alerts, block or release decisions, and trigger additional verification when needed.
Conduct end‑to‑end investigations: gather evidence, reconstruct timelines, identify modus operandi, document findings in case systems.
Analyze trends in chargebacks, disputes, and incidents to refine rules, thresholds, and model features; reduce false positives.
Operate and tune fraud tools: risk scoring systems, device/behavioral intelligence, rules engines, and ML‑based detectors; propose new logic.
Produce dashboards and reports on fraud metrics, losses, recovery, and emerging patterns; brief leadership and stakeholders.
Collaborate with payments, risk, security, compliance/AML, SOC, and customer support; elevate high‑severity cases and coordinate actions.
Contribute to policy and process design: detections, reviews, KYC/KYB controls, dispute handling, and loss recovery procedures.
Support remediation and recovery efforts: transaction reversals, account actions, customer outreach and preventive control rollout.
Track emerging threats (account takeover, synthetic IDs, mule networks) and advise on control gaps across products and processes.
Success outcomes Lower fraud losses and chargeback rates via faster, more precise interdiction.
Reduced false positives and better customer experience through improved scoring and tuning.
Clear, auditable investigations with timely, actionable reporting.
Proactive controls that address new fraud vectors before they scale.
Core skills and tools Data analysis: SQL, Excel/BI, familiarity with log and event data; able to spot anomalies and links in large datasets.
Fraud platforms: experience with real‑time monitoring, rules engines, device/behavioral risk, identity verification, and chargeback tooling.
Investigation: evidence collection, chain‑of‑custody awareness, case documentation, interviewing, and writing defensible reports.
Communication: concise escalation notes, stakeholder briefings, and cross‑team coordination under time pressure.
Domain knowledge: card‑not‑present/payments, e‑commerce and banking fraud typologies, disputes/chargebacks, compliance and AML touchpoints.
Collaboration: partnering with fraud ops, risk, product, engineering, compliance, and customer care to operationalize controls.
Typical day Triage and review queued alerts; prioritize high‑risk cases.
Deep‑dive investigations using device, behavioral, historical, and network data; decide block/release/escalate.
Review dashboards for spikes, drift, or new patterns; propose rules or threshold changes.
Coordinate with payments/ops on disputes and reimbursements; sync with security/compliance on significant incidents.
Summarize trends and recommendations for management.
Advanced/technical track (optional but valuable) Machine learning: supervised/unsupervised detection, risk scoring, feature engineering, model performance and drift monitoring.
Streaming and real‑time decisioning: low‑latency pipelines to evaluate transactions in milliseconds.
Graph/network analytics: uncover mule rings, shared devices, collusive merchant/affiliate schemes.
Account takeover, identity theft, synthetic identity, payment card fraud, merchant/affiliate abuse, chargeback fraud, refund abuse, promotion abuse, bot‑driven abuse, and social engineering impacts.
Progression into Fraud Strategy, Risk Analytics, Payments Risk, Threat Intelligence, AML/Financial Crime, or Security Operations leadership.
Role variants and titles Why it matters now Rapid growth in digital payments and online services has expanded fraud attack surfaces. Effective specialists combine domain knowledge, analytics, and fast operations to reduce losses while minimizing customer friction, preserving trust and growth.
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Key responsibilities Monitor real‑time transactions and account activity; assess alerts, block or release decisions, and trigger additional verification when needed.
Conduct end‑to‑end investigations: gather evidence, reconstruct timelines, identify modus operandi, document findings in case systems.
Analyze trends in chargebacks, disputes, and incidents to refine rules, thresholds, and model features; reduce false positives.
Operate and tune fraud tools: risk scoring systems, device/behavioral intelligence, rules engines, and ML‑based detectors; propose new logic.
Produce dashboards and reports on fraud metrics, losses, recovery, and emerging patterns; brief leadership and stakeholders.
Collaborate with payments, risk, security, compliance/AML, SOC, and customer support; elevate high‑severity cases and coordinate actions.
Contribute to policy and process design: detections, reviews, KYC/KYB controls, dispute handling, and loss recovery procedures.
Support remediation and recovery efforts: transaction reversals, account actions, customer outreach and preventive control rollout.
Track emerging threats (account takeover, synthetic IDs, mule networks) and advise on control gaps across products and processes.
Success outcomes Lower fraud losses and chargeback rates via faster, more precise interdiction.
Reduced false positives and better customer experience through improved scoring and tuning.
Clear, auditable investigations with timely, actionable reporting.
Proactive controls that address new fraud vectors before they scale.
Core skills and tools Data analysis: SQL, Excel/BI, familiarity with log and event data; able to spot anomalies and links in large datasets.
Fraud platforms: experience with real‑time monitoring, rules engines, device/behavioral risk, identity verification, and chargeback tooling.
Investigation: evidence collection, chain‑of‑custody awareness, case documentation, interviewing, and writing defensible reports.
Communication: concise escalation notes, stakeholder briefings, and cross‑team coordination under time pressure.
Domain knowledge: card‑not‑present/payments, e‑commerce and banking fraud typologies, disputes/chargebacks, compliance and AML touchpoints.
Collaboration: partnering with fraud ops, risk, product, engineering, compliance, and customer care to operationalize controls.
Typical day Triage and review queued alerts; prioritize high‑risk cases.
Deep‑dive investigations using device, behavioral, historical, and network data; decide block/release/escalate.
Review dashboards for spikes, drift, or new patterns; propose rules or threshold changes.
Coordinate with payments/ops on disputes and reimbursements; sync with security/compliance on significant incidents.
Summarize trends and recommendations for management.
Advanced/technical track (optional but valuable) Machine learning: supervised/unsupervised detection, risk scoring, feature engineering, model performance and drift monitoring.
Streaming and real‑time decisioning: low‑latency pipelines to evaluate transactions in milliseconds.
Graph/network analytics: uncover mule rings, shared devices, collusive merchant/affiliate schemes.
Account takeover, identity theft, synthetic identity, payment card fraud, merchant/affiliate abuse, chargeback fraud, refund abuse, promotion abuse, bot‑driven abuse, and social engineering impacts.
Progression into Fraud Strategy, Risk Analytics, Payments Risk, Threat Intelligence, AML/Financial Crime, or Security Operations leadership.
Role variants and titles Why it matters now Rapid growth in digital payments and online services has expanded fraud attack surfaces. Effective specialists combine domain knowledge, analytics, and fast operations to reduce losses while minimizing customer friction, preserving trust and growth.
Apply For This Job Name *
Email *
Phone *
United States +1
United Kingdom +44
American Samoa +1
Antigua and Barbuda +1
Argentina +54
Aruba +297
Australia +61
Belize +501
Bermuda +1
Bolivia +591
British Indian Ocean Territory +246
British Virgin Islands +1
Burkina Faso +226
Cameroon (Cameroun) +237
Canada +1
Caribbean Netherlands +599
Chad (Tchad) +235
Chile +56
Christmas Island +61
Colombia +57
Cook Islands +682
Costa Rica +506
Cuba +53
Djibouti +253
Dominica +1
Eritrea +291
Estonia (Eesti) +372
Ethiopia +251
Falkland Islands (Islas Malvinas) +500
Finland (Suomi) +358
France +33
Gabon +241
Grenada +1
Guadeloupe +590
Guam +1
Guatemala +502
Guernsey +44
Honduras +504
Iceland (Ísland) +354
Ireland +353
Isle of Man +44
Italy (Italia) +39
Jamaica +1
Jersey +44
Kiribati +686
Malaysia +60
Mali +223
Marshall Islands +692
Mauritius (Moris) +230
Mayotte +262
Montserrat +1
Nauru +674
Netherlands (Nederland) +31
Niue +683
Norfolk Island +672
Northern Mariana Islands +1
Norway (Norge) +47
Paraguay +595
Philippines +63
Poland (Polska) +48
Portugal +351
Saint Helena +290
Saint Kitts and Nevis +1
Saint Lucia +1
Saint Vincent and the Grenadines +1
Samoa +685
San Marino +378
Solomon Islands +677
South Africa +27
Svalbard and Jan Mayen +47
Togo +228
Tonga +676
Turkmenistan +993
Turks and Caicos Islands +1
U.S. Virgin Islands +1
Uganda +256
United Kingdom +44
United States +1
Uruguay +598
Vanuatu +678
Wallis and Futuna (Wallis-et-Futuna) +681
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