Data Scientist

1 day ago


Pune, Maharashtra, India beBeeFraud Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Business Operations Role Summary

The Fraud Risk Manager plays a pivotal role in supporting investigation and loss mitigation teams. They utilize data science and machine learning to inform fraud policy and analytics.

  • Leverage expertise in analytics and data science, including model development, to drive business insights.
  • Maintain strong knowledge of large language models and other emerging techniques to enhance fraud detection capabilities.
  • Develop expertise in data deep dive, insight generation, dashboard reporting, and presentation skills.

Key Responsibilities

  • Data Analytics & Business Insights
  • Identify valuable data sources and automate collection processes to support strategic decision-making.
  • Analyze large datasets to discover trends and patterns that inform business strategies.
  • Combine models through ensemble modeling to optimize results.
  • Present complex information using data visualization techniques.
  • Propose solutions and strategies to address business challenges.
  • Collaborate with cross-functional teams to drive business outcomes.
  • Create and enforce policies for effective data management.
  • Support reports and data extraction as needed.
  • Formulate techniques for quality data collection to ensure adequacy, accuracy, and legitimacy of data.
  • Identify and troubleshoot data-related problems and work to rectify them.

System Validations

  • Monitor fraud trends, investigate emerging threats, and develop new strategies to manage those threats effectively.
  • Built predictive models and machine-learning algorithms to drive business results.
  • Analyze structural requirements for new software and applications to optimize system performance.
  • Optimize new and current database systems to improve data management.
  • Monitor and analyze information and data systems and evaluate their performance to identify opportunities for enhancement.
  • Review existing control environments and assess their effectiveness against known fraud schemes.
  • Provide insight as a subject matter expert on process and control fraud leakages.
  • Develop complex technical rules/scenarios to maximize the effectiveness of fraud detection and prevention programs.
  • Research and survey activity regarding fraud and risk.
  • Analyze claims, dashboard reporting, and presentation department/content writing/framework preparation.
  • Manage and optimize processes for data intake, validation, mining, and engineering, as well as modeling, visualization, and communication deliverables.

People Management

  • Collaborate with a diverse team of operational agents, fraud risk managers, data analysts/scientists, business insight analysts, and subject matter experts.
  • Support team members to locate and define new process improvement opportunities.
  • Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics support that supports key decisions.

Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.

Educational Qualifications

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


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