Job Type:
Full Time
Education: B.Sc/ M.Sc/ B.E/ M.E./ B.Com/ M.Com/ BBA/ MBA/B.Tech/ M.Tech/ All Graduates
Skills:
Python, .net, React Native, Django, Javascript, HTML, CSS, Typescript, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Coimbatore, Data Science, Java, Adobe XD, Figma, php, wordpress, Artificial Intelligence, Excel
Job Opportunity: Data Analyst - ILM Fraud Analytics
Location: HO / Pune
Department: HO
Open Positions: 1
Role: Data Analyst - ILM Fraud Analytics
Posted On: 30-Oct-2024
Education/Qualification: B.Tech/B.E
Job Description:
We are looking for a Data Analyst - ILM Fraud Analytics to join our team. The successful candidate will be responsible for monitoring fraud trends, investigating emerging threats, and quickly developing and deploying strategies to manage those risks. You will provide innovative solutions for strengthening fraud risk tools, prevent, detect, and monitor fraud effectively.
This role involves analyzing complex data, identifying control gaps, and creating insightful reports to support the implementation of new fraud prevention controls. You will work closely with a diverse team, including operational agents, fraud solution developers, data analysts, and business insight analysts, to ensure that fraud detection and prevention systems are optimized.
You will also be responsible for preparing customized reports, analyzing fraud-related claims, managing and optimizing processes for data intake and validation, and ensuring data accuracy for fraud risk analysis.
Key Responsibilities:
- Fraud Trend Monitoring: Investigate emerging fraud trends and develop strategies to manage new threats.
- Fraud Risk Tools: Provide solutions for strengthening fraud prevention, detection, and monitoring tools.
- Control Environment Review: Assess the effectiveness of existing controls, identify gaps, and provide actionable insights for new control implementations.
- Data Analysis: Convert data into actionable insights, support business decisions, and deliver regular reports.
- Collaboration: Work with operational teams, fraud solution developers, data scientists, and business analysts to develop fraud prevention systems.
- Fraud Detection Rules: Develop and enhance technical rules and scenarios to maximize fraud detection and prevention program effectiveness.
- Analytics & Reporting: Conduct fraud analytics, prepare claims-related dashboards, and provide relevant reports.
- Process Improvement: Identify new process improvement opportunities and streamline fraud-related workflows.
- Data Integrity & Automation: Ensure the quality and accuracy of data by cleaning reports, automating regular reports, and optimizing data intake processes.
- Global Trends & Innovations: Keep track of global fraud trends and innovations to ensure the team is using the most up-to-date fraud prevention methods.
- Customized Reports: Prepare customized fraud analysis and reports per business requirements.
- Team Coordination: Collaborate with the IT MIS team to generate accurate and timely data reports.
Skills Required:
- Technical Skills: Proficiency in Python and SQL for data analysis and fraud investigation.
- Fraud Investigation: Experience in fraud risk management and investigations.
- Predictive Analytics: Expertise in predictive analytics for identifying fraud trends.
- Data Reporting: Strong knowledge of data analysis, reporting systems, and dashboard creation.
- Analytical Thinking: Ability to analyze complex data, interpret trends, and provide actionable insights.
- Process Optimization: Experience in automating data collection, validation, and reporting processes.
Desirable Skills:
- Experience: Experience in fraud detection, fraud risk analysis, or data analytics in a fraud-related domain.
