We are seeking a highly skilled Lead Data Analyst to join our energetic team. The ideal candidate will have extensive experience in data analysis, particularly in the context of fraud management within the international banking sector. As a Lead Data Analyst, you will be responsible for overseeing a team of analysts, guiding them in the development and implementation of data-driven strategies to monitor and mitigate fraud risks. Your expertise in Python will be crucial for developing analytical models and tools that enhance our fraud detection capabilities.

Key Responsibilities:
Lead and mentor a team of data analysts, fostering a collaborative and innovative work environment.
Analyze complex datasets to identify trends, patterns, and anomalies related to fraud activities.
Develop and implement advanced analytical models using Python to improve fraud detection and prevention strategies.
Collaborate with cross-functional teams to ensure data integrity and accuracy in reporting.




Present findings and recommendations to senior management, providing insights that drive decision-making.
Stay updated on industry trends and best practices in fraud management and data analysis.

Required Skills:
Proven experience in team handling and leadership within a data analysis context.
Robust proficiency in Python and its application in data analysis.
In-depth knowledge of fraud management and monitoring techniques, particularly in the banking sector.
Excellent analytical and problem-solving skills, with the ability to interpret complex data sets.
Solid communication skills, capable of presenting data-driven insights to stakeholders at all levels.

If you are passionate about leveraging data to combat fraud and have the leadership skills to guide a team of analysts, we encourage you to apply for this exciting opportunity.

📌 Lead Data Analyst Bengaluru (India)
🏢 Huquo Consulting
📍 India