Arjun Ajith
Risk Specialist
Experience
Risk Specialist
Amazon Web Services (AWS)
- Analyzed 500+ accounts/month using SQL and internal risk tools to detect fraud patterns and account compromise attempts.
- Identified emerging fraud MOs, contributing to a ~15% improvement in detection accuracy across workflows.
- Conducted deep-dive investigations, preventing potential financial loss and reputational risk to AWS customers.
- Authored weekly fraud trend reports and RCA decks for senior stakeholders, influencing process & policy decisions.
- Partnered with Quality & Knowledge teams to improve documentation, boosting investigation consistency by ~20%.
- Mentored 8+ junior specialists, improving team performance and productivity.
- Worked with automation-assisted alert systems and rule-based risk models; provided analyst feedback that helped reduce false-positive rates.
Senior Fraud Investigator
Amazon Web Services (AWS)
- Completed investigations for 100–150 high-risk alerts/month flagged by automated fraud systems.
- Reduced escalations turnaround time by ~25% through workflow optimization.
- Delivered structured fraud pattern reports enabling faster decisioning and improved controls.
- Proposed enhancements that improved review efficiency and reduced noise in alert queues.
FinCrime Analyst – Transaction Monitoring
Revolut
- Investigated 200+ AML alerts per month across fraud, sanctions, suspicious transfers, and unusual behavior patterns.
- Detected high-risk activity and escalated complex cases, directly contributing to strengthened compliance outcomes.
- Analyzed transaction patterns and user behaviors to identify emerging financial crime trends and reduce risk exposure.
- Generated detailed case reports and insights for compliance and product stakeholders, improving escalation efficiency.
- Monitored & tracked KPIs, enabling a ~10–15% improvement in SLA adherence and queue management performance.
- Standardized review workflows and procedures, improving quality and reducing error rates across the team.
- Mentored and onboarded 10+ new analysts, improving team ramp-up time and investigation accuracy.
Industries Experience
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Experienced in Information Technology (4 years) and Banking and Finance (2 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Business Intelligence (3.5 years), Quality Assurance (3.5 years), Audit (2.5 years), and Legal (2 years).
Summary
Analytical risk & fraud specialist with 5+ years of experience across fintech and cloud platforms. Skilled in detecting fraud, investigating suspicious behavior, and improving operational workflows in high-growth environments. Proficient in SQL, data analysis, and cross-functional collaboration to drive insights and strengthen fraud-prevention frameworks. Strong interest in leveraging automation and Al-supported detection models to enhance risk controls and operational accuracy.
Skills
Data Analysis & Reporting: Kpi Tracking, Performance Monitoring, Fraud Trend Analysis
Tools: Sql (Intermediate), Excel
Fraud Detection & Risk Ops: Account Compromise Investigations, Aml Transaction Monitoring, Root Cause Analysis
Automation & Ai Exposure: Familiar With Ai-assisted Fraud Detection Concepts, Risk Scoring Models, And Rule-based System Optimization
Cross-functional Collaboration: Clear Communication With Product, Compliance, And Quality Teams
Data Integrity & Process Improvement: Data Validation, Workflow Enhancement, Documentation Standards
Languages
Education
National Institute of Technology Calicut
M.Tech · Materials Science & Mechanical Engineering · Kozhikode, India
College of Engineering Trivandrum
B.Tech · Mechanical Engineering · Thiruvananthapuram, India
Profile
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