Mahesh Bali
AVP: Data Analyst in Financial Crime Intelligence at Axis Bank
- Role
- Assistant Vice President Data Analyst at Axis Bank
- Location
- Mumbai, MH, IN
- LinkedIn followers
- 500 followers
About Mahesh Bali
With over 20 years of experience in the banking and financial services industry, I have built a strong foundation in fraud risk analytics, data science, and project management. I recently joined Axis Bank as a Data Analyst in the Financial Crime Intelligence department, where I support the newly established Liabilities Fraud Prevention unit. My role involves developing and implementing advanced analytics to detect and prevent fraudulent activities within the bank\'s liabilities portfolio.Before joining Axis Bank, I spent 15+ years at DBS Bank, where I led several initiatives that resulted in significant cost savings, operational efficiencies, and enhanced fraud detection capabilities. My work at DBS included developing algorithms in Python for fraud detection, implementing SQL queries for large-scale data processing, and managing data migration projects during the Lakshmi Vilas Bank merger.I hold an MS in Analytics from Georgia Tech, where I gained expertise in data and visual analytics, financial modeling, and applied analytics. My academic background also includes a BS in Data Science and Applications from IIT Madras, where I developed strong programming and data science skills. My professional journey is marked by a commitment to leveraging data-driven insights to improve business processes and prevent financial crime. I am proficient in Python, SQL, and machine learning, and I have a track record of delivering high-impact projects in dynamic environments. My diverse skill set, combined with a deep understanding of the banking sector, positions me to contribute effectively to any organization looking to enhance its analytics and fraud prevention capabilities.I am passionate about using data to solve complex problems and drive strategic decision-making. Whether it’s through the development of predictive models, the optimization of business processes, or the implementation of new technologies, I am dedicated to making a meaningful impact in the financial services industry.
Experience
Assistant Vice President Data Analyst
Jul 2024 — Present · Mumbai, IN
As a Data Analyst in the Financial Crime Intelligence department at Axis Bank, I am contributing to the newly formed Liabilities Fraud Prevention unit. Since joining in August 2024, I have been applying advanced analytics to support the identification and prevention of fraud within the bank\'s liabilities portfolio.My role involves analyzing large datasets to uncover patterns and generate actionable insights that enhance our fraud detection capabilities. By developing and refining algorithms, I help the bank stay ahead of emerging threats, ensuring our systems are both reactive and predictive.Collaboration is key in my position, as I work with cross-functional teams to design data models that strengthen our fraud prevention strategies. My focus is on creating analytics frameworks that not only detect anomalies but also assess risk factors, helping to reduce the bank\'s exposure to liabilities fraud and safeguard customer trust.This role allows me to leverage the skills I developed during my MS in Analytics at Georgia Tech, where I gained a deep understanding of data analysis, statistical modeling, and financial crime prevention. I am passionate about using data-driven insights to support Axis Bank\'s mission of maintaining the highest standards of financial integrity.I am committed to staying informed about the latest developments in financial crime and analytics, continuously improving our fraud prevention strategies to ensure they remain at the forefront of the industry.
Education
Indian Institute of Technology, Madras
Bachelor of Science - BS
2021 — 2026
Georgia Institute of Technology
Master's degree
2019 — 2024
Jamnalal Bajaj Institute of Management Studies
Master of Management Studies
2001 — 2003
Cathedral and John Connon School, Mumbai
ICSE
1980 — 1992
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