Fraud Analyst - 3 - 6 Years - Gurugram

3 - 7 years

15 - 17 Lacs

Posted:2 months ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

An exciting opportunity for an experienced Fraud Analyst with 3+ years of expertise in fraud detection, analytics, and prevention within the banking and financial services domain. In this role, you will drive fraud monitoring, analyze trends, and develop robust strategies to safeguard lending operations against emerging threats.

Location:

Your Future Employer

A globally recognized financial institution, renowned for its innovation, risk management, and commitment to operational excellence. Offering a collaborative and inclusive culture, empowering employees to work on transformative initiatives with global impact.

Responsibilities:

  • Monitor and analyze transaction data to identify potential fraud patterns using advanced analytics tools.
  • Conduct investigations into suspicious activities, determine root causes, and implement preventive measures.
  • Develop, test, and enhance fraud detection rules and strategies in workflow systems.
  • Collaborate with stakeholders to provide insights into global fraud trends and strengthen fraud prevention frameworks.
  • Stay updated with regulatory changes, industry best practices, and evolving fraud typologies.

Requirements:

  • Bachelors degree in Computer Science, Finance, Data Science, or related field.
  • Minimum

    3 years of experience

    in analytics, preferably within banking or financial services.
  • Strong technical skills in

    Python, SQL, and data analysis methodologies

    .
  • Excellent problem-solving ability, attention to detail, and proactive mindset.
  • Strong communication and teamwork skills for effective cross-functional collaboration.

What’s in it for You:

  • Opportunity to play a critical role in fraud risk management and prevention.
  • Exposure to global fraud trends and advanced detection methodologies.
  • Collaborative work environment with career growth opportunities in risk and analytics.
  • Be part of a forward-looking institution with strong emphasis on innovation and security.

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