Fraud Risk Analytics - Gurugram, India - Airtel Payments Bank

    Airtel Payments Bank
    Airtel Payments Bank Gurugram, India

    2 weeks ago

    Default job background
    Description

    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 AdvanceSQL, 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.