Fraud Analyst

Fraud Strategy & Analytics 3+ Years – Gurgaon / Bangalore

Summary –

We are looking for professionals to join the Fraud Strategy & Analytics team of a leading global organization, supporting fraud risk management and analytics initiatives across financial services portfolios. The role requires strong hands-on expertise in Advanced Excel and SQL/SAS, with experience in fraud strategy, fraud analytics, fraud detection or risk analytics. Experience across Cards, Payments or Banking portfolios will be preferred.

This is an Individual Contributor (IC) role involving direct client interaction, stakeholder management and end-to-end ownership of analytical deliverables and business insights.

Location –

Gurgaon / Bangalore

Your Future Employer –

A leading global organization offering opportunities to work on large-scale fraud strategy, risk analytics and decision-science engagements for global financial services clients.

Responsibilities –

1. Develop and support fraud strategy and analytics initiatives, including fraud identification, monitoring, segmentation and risk assessment across relevant portfolios.
2. Analyze large datasets using SQL/SAS and Advanced Excel to identify fraud trends, patterns, risk indicators and actionable business insights.
3. Own analytical deliverables end-to-end, from understanding business requirements and conducting analysis to presenting insights and recommendations to clients.
4. Work closely with clients and internal stakeholders to understand business problems, communicate findings clearly and support implementation of fraud risk strategies.
5. Monitor portfolio performance and fraud trends, identify opportunities for strategy enhancement and contribute to continuous improvement of fraud management frameworks.

Requirements –

1. 3–7 years of relevant experience in Fraud Strategy, Fraud Analytics, Fraud Risk, Risk Analytics or a closely related domain.
2. Strong hands-on experience with Advanced Excel and SQL or SAS is mandatory; experience with both SQL and SAS will be an advantage.
3. Experience working with Fraud Strategy / Fraud Analytics teams across any portfolio; Credit Cards, Debit Cards, Payments or Banking experience is preferred.
4. Strong stakeholder management, communication and client-facing skills, with the ability to translate complex analysis into clear business insights.
5. Candidates with experience in Tier-1 colleges, leading analytics organizations, consulting firms or captive environments will be preferred. Python is not mandatory.

What is in it for you –

• Opportunity to work on large-scale fraud strategy and analytics engagements with global financial services clients.
• Exposure to complex fraud risk, cards, payments and banking analytics problems.
• Direct client interaction and ownership of end-to-end analytical deliverables.
• Opportunity to work with advanced analytical tools including SQL, SAS and Excel.
• Additional benefits including two-way cab reimbursement and late-night meal reimbursement for work beyond 9 PM, as applicable.

Reach us –

If you think this role is aligned with your career, kindly write me an email along with your updated CV on [email protected] for a confidential discussion on the role.

Disclaimer –

Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging and memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Note –

We receive a large number of applications daily, making it difficult to respond to every applicant. Please assume that your profile has not been shortlisted if you do not hear from us within one week. Your patience is highly appreciated.

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Profile Keywords –

Fraud Strategy, Fraud Analytics, Fraud Risk, Fraud Detection, Risk Analytics, SQL, SAS, Advanced Excel, Fraud Management, Credit Cards, Debit Cards, Payments, Banking, Portfolio Analytics, Strategy Analytics, Client Management, Stakeholder Management, Risk Management, Financial Services, Data Analytics