Fraud Prevention Analyst Trust & Safety

Corishta Ltd.; Pune District; On-site; INR 1 - 2; Full time

Job summary

Corishta Ltd. in Pune, Maharashtra area seeks a Fraud Prevention Analyst to analyze account activity, identify signals of abuse, and translate observations into rules that help the verification team catch more cases early.

You will collaborate with engineering to implement checks in the platform, measure rule effectiveness, and document findings to ensure clear reasoning behind each rule.

Qualifications

• At least two years in fraud analytics, risk, or a related analytical role.
• Strong analytical skill and comfort with data.
• Working knowledge of SQL and of analysing behavioural data.
• Ability to explain a pattern and a proposed response clearly.
• Patient, methodical thinking about unusual behaviour.
• Experience building rules or models for fraud detection.
• Knowledge of common fraud typologies in consumer platforms.
• Working knowledge of Python for analysis.

Responsibilities

• Identify suspicious account activity and potential fraud.
• Analyse activity patterns across accounts to find signals others miss.
• Build and refine the rules and checks that flag suspicious behaviour.
• Work with engineering to implement those checks in the platform.
• Support verification investigations with your analysis.
• Measure how well the current checks work and where the gaps are.
• Document your findings so the reasoning behind each rule is clear.

Skills

Fraud analytics

Pattern recognition

SQL

Rule design

Data analysis

Documentation

Python

Risk scoring

Incident analysis

Tools

SQL

Python

Job description

As Fraud Prevention Analyst you look for the patterns behind individual fraud cases. You will analyse account activity, identify the signals that indicate abuse, and turn those observations into rules that help the verification team catch more cases earlier.

Responsibilities

• Identify suspicious account activity and potential fraud
• Analyse activity patterns across accounts to find the signals others miss
• Build and refine the rules and checks that flag suspicious behaviour
• Work with engineering to implement those checks in the platform
• Support verification investigations with your analysis
• Measure how well the current checks work and where the gaps are
• Document your findings so the reasoning behind each rule is clear

Requirements

• Two or more years in fraud analytics, risk, trust and safety or a related analytical role
• Strong analytical skill and comfort with data
• Working knowledge of SQL and of analysing behavioural data
• Ability to explain a pattern and a proposed response clearly
• Patient, methodical thinking about unusual behaviour
• Experience building rules or models for fraud detection
• Knowledge of common fraud typologies in consumer platforms
• Working knowledge of Python for analysis

Preferred Skills

• Fraud analytics
• Pattern recognition
• SQL
• Rule design
• Data analysis
• Documentation
• Python
• Risk scoring
• Incident analysis

Compensation

This is a full-time salaried position. Salary for this role is confirmed individually during the hiring process and is based on experience; no fixed figure is advertised at this stage.

Work Location

• Pune, Maharashtra
• Mumbai, Maharashtra