Chief Fraud Prevention Officer

1 week ago

Ellore, Andhra Pradesh, India beBeeFraudRisk Full time ₹ 80,00,000 - ₹ 1,50,00,000
Job Description

The Fraud Risk Manager role contributes to the investigation and mitigation of fraud risks by utilizing data, machine learning models, and Gen AI technology.

This individual will be responsible for maintaining the effectiveness of investigation tools and technologies, as well as delivering robust and timely data insights to stakeholders.

They will work collaboratively with a diverse team of operational agents, fraud risk managers, data analysts/scientists, business insight analysts, and subject matter experts.

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  • Hands-on experience in Analytics and Data Science.
  • Model Development and exposure to Fraud detection.
  • Good Understanding of LLMs and other new techniques
  • Data deep dive, Insight generation, Dashboard reporting and presentation skill
  • End-to-end project delivery and stakeholder management.

Key Responsibilities:

  • Conduct data analytics and business insights.
  • Identify valuable data sources and automate collection processes.
  • Analyze large amounts of information to discover trends and patterns.
  • Present information using data visualization techniques.
  • Propose solutions and strategies to business challenges.
  • Collaborate with engineering and product development teams.
  • Create and enforce policies for effective data management.
  • Assist with reports and data extraction when needed.

System Validations:

  • Monitoring fraud trends, investigating emerging threats, and quickly developing and deploying new strategies to manage those threats.
  • Build predictive models and machine-learning algorithms.
  • Analyze structural requirements for new software and applications.
  • Optimize new and current database systems.
  • Monitor and analyze information and data systems (Indicator Management, Loss ratio pattern) and evaluate their performance to discover ways of enhancing them.

People Management:

  • Work collaboratively with a diverse team of operational agents, fraud risk manager, data analysts/scientists, business insight analysts, subject matter experts.
  • Support team members to locate and define new process improvement opportunities.
Requirements

Education:

  1. M.Sc in Statistics, Economics or Engineering degree or Professional education in Data Science
  2. Good Knowledge of Python, R, SQL, MS Excel, and SQL database & coding
  3. At least a bachelor's degree in mathematics, Computer Science, Engineering, Economics, Statistics

Experience:

  1. Hands-on experience in Analytics and Data Science.
  2. Model Development and exposure to Fraud detection.

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