Straive - Senior Fraud Strategist

Department Icon Data Science Analytics & Machine Learning
Posted: 5 months ago
4-8 years
Anywhere in India/Multiple Locations
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 5 months ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

Description:

About the Role:

We are looking for an experienced Senior Fraud Strategist to lead fraud prevention, fraud analytics, and risk mitigation initiatives across digital products, payments, and customer journeys.

The ideal candidate will have strong expertise in fraud strategy development, risk analytics, transaction monitoring, and data-driven fraud prevention frameworks.

Similar roles focus on fraud detection, strategy optimization, risk controls, and collaboration across product, engineering, compliance, and operations teams.

This role requires someone who can proactively identify emerging fraud trends, optimize fraud rules, reduce fraud losses, and improve customer experience while balancing risk and growth objectives.

Key Responsibilities:

Develop and implement end-to-end fraud prevention strategies across:

  • Payments fraud
  • Account Takeover (ATO)
  • Identity fraud
  • Chargeback fraud
  • Card-not-present fraud
  • Design fraud rules, controls, thresholds, and decisioning frameworks.
  • Monitor fraud trends, emerging attack patterns, and evolving threat vectors.
  • Optimize fraud strategies to reduce false positives while minimizing fraud exposure.
  • Analyze large transaction and behavioral datasets to identify fraud trends, anomalies, and attack patterns.
  • Build fraud dashboards, KPI reports, and executive insights.
  • Fraud loss rates
  • Chargeback rates
  • Approval rates
  • False positive rates
  • Operational efficiency metrics
  • Perform root cause analysis on fraud incidents and recommend improvements.

Cross-functional Collaboration:

  • Product teams
  • Engineering teams
  • Risk Operations
  • Compliance
  • Work with engineering teams to implement fraud controls, rule engines, and risk models into production.
  • Support new product launches by embedding fraud prevention frameworks early in the lifecycle.
  • Manage and optimize fraud platforms, monitoring systems, and case management tools.
  • Evaluate third-party fraud vendors, tools, and integrations.
  • Continuously improve fraud detection models, workflows, and operational playbooks.
  • Ensure fraud controls align with internal risk policies and regulatory requirements.
  • Support audit, compliance reviews, and fraud governance processes.
  • Maintain documentation of fraud strategies, rules, and operational procedures.

Required Skills:

4-8+ years of experience in:

  • Fraud Strategy
  • Fraud Analytics
  • Risk Management
  • Payments Risk / Trust & Safety

Strong domain expertise in:

  • Payment fraud
  • Digital fraud
  • Card fraud
  • ATO fraud
  • Identity risk
  • Strong SQL skills for fraud analytics and data querying.
  • Experience with Python/R for analytics, modeling, or automation preferred.
  • Experience with fraud/risk tools such as:

Skills

Fraud AnalyticsFraud AnalysisAnalyticsRisk AnalyticsConsulting - BFSIRisk ManagementPythonRoot Cause AnalysisAnalyticsSql

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