Fraud Analyst

EXL

Fraud Analyst detecting emerging fraud patterns in retail lending data. Building monitoring dashboards and supporting fraud prevention strategies for a banking team.

Posted 9/4/2026full-timeGurugram • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in data analytics and fraud detection, with strong capabilities in Python, SQL, and data visualization tools like Tableau. Demonstrates analytical problem-solving skills and the ability to collaborate effectively with cross-functional teams to enhance fraud prevention strategies.

Highest-signal resume keywords

Data AnalyticsFraud DetectionPython/PySparkSQLTableau

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisFraud Pattern IdentificationRoot Cause AnalysisReporting AutomationDashboard Development

Soft Skills

Attention to DetailProactive Problem-SolvingCommunicationTeamwork

Tools & Technologies

Data Analytics ToolsWorkflow Systems

Industry Keywords

Banking DomainFraud PreventionIndustry TrendsBest Practices

Tech Stack

Tools & technologies

PySparkPythonSQLTableau

About the role

Key responsibilities & impact

Monitor and analyze originations data to identify potential fraud patterns using data analytics tools and methodologies
Conduct deep dive investigations into suspicious activities, determine root causes, and develop strategies to prevent future occurrences
Assist in developing and integrating fraud detection rules and strategies on workflow systems
Stay updated with industry trends and best practices in fraud detection
Collaborate with stakeholders and cross-functional teams to enhance fraud prevention measures
Work in a fast-paced environment with strong attention to detail and a proactive problem-solving mindset
Translate business requirements into analytical solutions through communication and teamwork

Requirements

What you’ll need

Bachelor’s degree in computer science, finance, data science, or a related field
3+ years of strong experience in analytics, preferably in banking domain
Strong analytical skills with proficiency in Python/PySpark and SQL
Experience in data visualization and dashboard development, preferably Tableau
Ability to automate reporting

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account EXL Website LinkedIn All Job Openings 10,000+ employees 🏥 Healthcare 🛡️ Insurance 📦 Logistics 💰 $2M Venture Round on 2015-01 Healthcare
Insurance
Logistics EXL is a business consulting and services firm that focuses on leveraging data to enhance business operations and decision-making. With a strong emphasis on collaboration and adaptability, EXL partners with organizations to address their unique needs and culture while integrating data science and technology solutions. The company's areas of expertise include operations management, decision analytics, digital transformation, and various industries such as healthcare, finance, and insurance. EXL's mission is to help clients drive business evolution and maintain competitive advantage through tailored solutions and effective use of data. Fraud Analyst 🔥 1 hour ago 🏢🏡 Gurugram – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🧐 Analyst 👻 Ghost score 11% Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Monitor and analyze originations data to identify potential fraud patterns using data analytics tools and methodologies
Conduct deep dive investigations into suspicious activities, determine root causes, and develop strategies to prevent future occurrences
Assist in developing and integrating fraud detection rules and strategies on workflow systems
Stay updated with industry trends and best practices in fraud detection
Collaborate with stakeholders and cross-functional teams to enhance fraud prevention measures
Work in a fast-paced environment with strong attention to detail and a proactive problem-solving mindset
Translate business requirements into analytical solutions through communication and teamwork 🎯 Requirements
Bachelor’s degree in computer science, finance, data science, or a related field
3+ years of strong experience in analytics, preferably in banking domain
Strong analytical skills with proficiency in Python/PySpark and SQL
Experience in data visualization and dashboard development, preferably Tableau
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