Fraud Risk Analytics

4 weeks ago


Gurugram, India Airtel Payments Bank Full time

Key Responsibilities:

Strategic Leadership: Provide strategic direction and leadership in leveraging data analytics to enhance risk management and fraud prevention efforts.

Continuous Improvement: Drive continuous improvement initiatives to optimise existing processes, create ML models and enhance model accuracy, and adapt to evolving fraud trends.

Team Management: Lead and mentor a team of data analysts, fostering a culture of innovation, collaboration, and continuous improvement.

Solution Development: Partner with cross-functional teams to design and implement advanced analytics solutions that address complex risk and fraud challenges.

Performance Monitoring: Establish key performance indicators (KPIs) and metrics to measure the effectiveness of risk management and fraud prevention strategies.

Skills :

· Strong analytical skills with the ability to interpret complex data sets and extract actionable insights.

· Proficiency in data analytics & visualisation tools and technologies, including but not limited to Advance SQL, Python, PowerBI/Tableau, Kibana.

· Experience in developing and deploying Machine Learning and Deep Learning solutions with libraries and frameworks.

· Preprocess and analyse large datasets to identify patterns, trends, and insights.

· Sound understanding of risk management principles, methodologies, and regulatory requirements, particularly in the financial services industry.

· Strong project management skills with the ability to manage multiple priorities, meet deadlines, and deliver results in a fast-paced environment.

Qualifications and Experience:

· Bachelor's/Master’s degree in a field such as Computer Science, or Engineering.

· Professional Knowledge of machine learning models and algorithms.

· Minimum of 2-4 years of relevant experience in data science, risk management,

· Experience in the financial services industry, particularly in banking or payments, is highly desirable.

· Demonstrated track record of success in leading data analytics initiatives, driving business impact, and delivering measurable results.


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