Data Analyst (Fraud Detection / Cybersecurity)

Job Description

We are seeking a Data Analyst to join our team and play a key role in detecting and preventing fraudulent activities. You will analyze and interpret large datasets to uncover patterns, anomalies, and trends that support the development of advanced anti-fraud solutions. This is an excellent opportunity to make a meaningful impact in the cybersecurity space and help protect clients from online threats.

Responsibilities

• Perform in-depth data analysis to detect patterns and anomalies related to fraud.
• Develop and implement statistical models, algorithms, and data mining techniques.
• Collaborate with cross-functional teams, including developers, cybersecurity experts, and product managers.
• Conduct data cleansing, preprocessing, and validation to ensure accuracy.
• Create reports and visualizations to communicate findings to technical and non-technical stakeholders.
• Monitor and evaluate anti-fraud solutions, suggesting improvements based on data-driven insights.
• Stay updated with the latest trends and best practices in data analysis and fraud detection.
• Assist in designing and implementing data collection processes and tools.

Requirements

• Proven experience as a Data Analyst or similar role, preferably in cybersecurity or fraud detection.
• Proficiency in Python, R, SQL, and/or SAS.
• Strong grasp of statistical analysis, predictive modeling, and machine learning algorithms.
• Hands-on experience with visualization tools like Tableau, Power BI, or matplotlib.
• Familiarity with MySQL, PostgreSQL, Cassandra, and distributed systems such as Hadoop, Spark, or Elasticsearch.
• Strong problem-solving, analytical thinking, and communication skills.
• Ability to manage multiple priorities in a fast-paced environment.

Education

• Bachelor’s degree in Computer Science, Information Technology, or Software Engineering.

Job Type: Full-time

Pay: Rs200,000.00 - Rs300,000.00 per month

Work Location: On the road