Fraud Analyst

Location: Gurugram, Haryana (WFO)
Experience: 2+ years in Fintech or related field
Function: Fraud Analyst
Employment Type: Full-time
Role Description The Fraud Analyst role at Anytime Rupee is a full-time, on-site position based in Gurugram. The Fraud Analyst is responsible for monitoring transactions, accounts, and customer activities to detect, investigate, and prevent fraudulent behavior. Day-to-day tasks include analyzing data patterns, reviewing alerts and exceptions, assessing chargebacks and disputes, and recommending actions to mitigate risk. The role involves collaborating with operations, customer support, and compliance teams to improve fraud detection rules and policies, and documenting findings for internal reporting. The Fraud Analyst will also communicate outcomes and recommendations clearly to stakeholders and help implement process improvements that enhance platform safety and customer trust.
Qualifications
Candidates should possess strong Fraud Prevention and Fraud Analysis skills for identifying risks and developing effective controls.
Candidates should possess excellent Analytical Skills for interpreting data, spotting patterns, and making evidence-based decisions.
Candidates should possess experience handling Chargebacks and related dispute resolution processes.
Candidates should possess clear and professional Communication skills for collaborating with cross-functional teams and documenting investigations.
Relevant experience in fraud risk, credit risk, or financial services operations is beneficial.
Proficiency with spreadsheets, analytics tools, or fraud monitoring systems is advantageous.
Bachelor’s degree in finance, business, statistics, economics, or a related field is preferred.
Ability to work with integrity, maintain confidentiality, and follow regulatory and internal compliance guidelines.
Requirements:
2+ years of experience in fraud analytics, fraud investigation, risk analytics, credit risk, transaction monitoring, or a closely related role.
Experience in digital lending, fintech, NBFC or consumer finance is strongly preferred.
Strong SQL skills with experience joining, aggregating, and analysing large datasets.
Experience with Power BI, Metabase, Tableau, or similar BI tools; working knowledge of Python is an advantage.
Practical understanding of application fraud, identity fraud, synthetic identity, KYC fraud, mule accounts, device/IP intelligence, velocity rules, fraud-ring analysis, bank-account/payment fraud, bureau fraud signals, and false-positive management.
Strong investigative mindset, structured problem-solving, attention to detail, and the ability to convert analytical findings into implementable fraud controls.
Exposure to SAR reporting, fraud investigation reports, regulatory coordination, authority filings, or audit-ready case documentation is an advantage.
Clear communication skills with the ability to present findings to technical and non-technical stakeholders.

Work arrangement
No