Principal Recruitment Drive; Hiring Fraud Analyst– Apply Now

Fraud Analyst Job Openings in Hyderabad 2026!!!

Principal announced job vacancy for the post of Fraud Analyst. The place of posting will be at Hyderabad (Hybrid). Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Company Overview

Name of the Company	Principal
Required Qualifications	Graduate
Skills	Excellent Critical Thinking & Interpersonal Skills
Category	Compliance & Risk
Work Type	Hybrid

This role combines investigative expertise with advanced analytic capabilities and data science, including data extraction and analysis, machine learning, predictive modeling, quantitative methods, and modern reporting. You will collaborate with the Corporate Special Investigations Unit (“CSIU”) team to drive data-driven fraud analysis and modeling across the descriptive, diagnostic, predictive, and prescriptive continuum. This involves not only creating information that can drive or support complex fraud investigations, but also transforming insights gained into effective and efficient prevention, detection, and response strategies. You will support the CSIU leadership team in its efforts and you will lead enterprise fraud and investigative data-driven reporting processes.

Job Details

Θ Positions: Fraud Analyst

Θ Job Location: Hyderabad (Hybrid)

Θ Salary: As per company standards

Θ Job Type: Full Time

Θ Requisition ID: 50419

Roles and Responsibilities:

• Enterprise Investigative Analytics
• Serve as the CSIU’s primary data science architect and technical analyst for fraud data in cases of suspected unethical or fraudulent activity throughout the enterprise.
• Extract and deliver comprehensive evidence and data for large, high-risk, or complex investigations.
• Subject Matter Point Peron
• Collaborate closely with other internal stakeholders to understand, leverage, and influence utilization of existing fraud analytic tools.
• During exploration of new fraud prevention, detection, or investigative tools, act as the primary evaluative resource/external vendor liaison for the CSIU.
• Drive ongoing results that benefit the CSIU and other internal stakeholders.
• Data Extraction
• Extract and consolidate data from Principal systems into structured, consumable formats for analysis.
• Integrate cross-system data (e.g., claims, payments, customer, policy, access logs, case management) to build comprehensive investigative views.
• Evaluate and recommend internal/external data sources, coordinate with data owners, platform teams, and governance partners.
• Apply robust data quality, lineage, security, and compliance practices in governed environments (data warehouses/lakes; cloud).
• Fraud Analytics
• Translate investigative hypotheses into understandable analytic frameworks; quantify impact and manage false positive/negative tradeoffs.
• Apply machine learning, predictive modeling, and quantitative techniques to solve complex business problems.
• Act as the subject matter expert on innovative analytic methods; create design requirements, set project timelines, and drive superior technical solutions.
• Manage multiple projects across the analytics continuum (descriptive, diagnostic, predictive, prescriptive); ensure disciplined delivery and measurable impact.
• Apply emerging analytic principles and techniques to support business decisions and investigative strategies.
• Lead model development and validation end-to-end, including diagnostics and monitoring.
• Develop processes and metrics to monitor model performance; recommend refits/enhancements to maintain efficacy and manage risk.
• Fraud Reporting
• Design and deliver executive-ready dashboards and visualizations using Power BI (expert level); enable secure self-service where appropriate.
• Build easy to understand data visualization products to support complex investigations, particularly when there are groups of threat actors involved.
• Build automated reporting for fraud metrics, case pipelines, operational KPIs, and model performance; communicate trends to business partners.
• Present complex findings clearly to nontechnical stakeholders and regulators; create concise executive summaries and regulatory-ready materials.

Required Skills & Qualifications:

• Graduate

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