LogoLanguage
DeviceDriven (India) Pvt. Ltd

Padmanabham, Technopark Campus, Trivandrum , 695581

Fraud Analyst

Closing Date:30,Sept 2026
Job Published: 28,Aug 2026

Brief Description

Position Overview

We are looking for an experienced Fraud Analyst to join our Risk & Fraud Operations team supporting a financial services and loyalty/payments platform.

The role involves detecting, investigating, and preventing fraud across payment, travel, loyalty, and digital/gift card platforms. You will analyse transaction patterns, manage fraud alerts, develop detection rules, and work with cross-functional teams to minimise financial losses while protecting legitimate customer transactions.

Key Responsibilities

  • Monitor and investigate real-time fraud alerts and suspicious transactions across payment and travel platforms.
  • Identify fraud patterns including payment card fraud, account takeover, velocity attacks, loyalty abuse, gift card/digital product fraud, and merchant fraud.
  • Conduct detailed investigations, determine true fraud vs. false positives, and maintain clear case documentation.
  • Coordinate with Customer Service, Operations, Legal, and Compliance on account actions, refunds, chargebacks, and escalated cases.
  • Analyse fraud trends and create, tune, test, and monitor fraud detection rules in collaboration with Engineering.
  • Monitor rule effectiveness, false-positive rates, and customer impact.
  • Prepare daily/weekly/monthly fraud reports, dashboards, and actionable insights for leadership.
  • Support fraud data processing, reconciliation, loss forecasting, compliance, and audit requirements.

 

 

Preferred Skills

  • 3–5 years of experience in Fraud Analysis, Risk Operations, or Financial Crimes Investigation.
  • Hands-on experience with payment fraud involving credit/debit cards, ACH, or digital wallets.
  • Experience in e-commerce, loyalty, gift card, or digital product fraud.
  • Experience writing and tuning fraud detection rules.
  • Strong experience with chargebacks and dispute management.
  • Advanced SQL skills for transaction analysis and reporting.
  • Experience with fraud detection platforms such as FICO Falcon, Feedzai, Kount, Sift, or similar.
  • Experience with Excel and data visualisation/reporting tools such as Tableau, Power BI, or SSRS.
  • Familiarity with JIRA or similar case management tools.
  • Understanding of data warehouses and ETL processes.

Domain Knowledge

Knowledge of payment fraud, PCI fraud patterns, account takeover, loyalty/rewards abuse, gift card/stored-value fraud, velocity-based detection, device fingerprinting, and behavioural analytics.

Good to Have

  • Gift card/prepaid card fraud experience.
  • Travel industry or merchant fraud experience.
  • Knowledge of 3D Secure, EMV, tokenisation, or cryptocurrency/digital asset fraud.
  • Exposure to machine-learning-based fraud models.
  • CFE or ACAMS certification.

Work Environment

  • Standard business hours with potential on-call support for critical fraud incidents.
  • Must have overlap with US Eastern Time.
  • High-volume environment with 50–100+ alerts per day during peak periods.
  • Business-critical role with direct financial impact.

Key KPIs

Fraud detection rate | False-positive rate | Investigation turnaround time | Fraud loss ratio | Rule effectiveness | Chargeback win rate