Location
Bangalore | India
Job description
Responsibilities:
- Develop and execute a comprehensive risk analytics strategy aligned with the companys goals and risk appetite.
- Identify and leverage emerging technologies and data sources to enhance risk analytics capabilities.
- Lead the development validation and deployment of predictive models for credit scoring fraud detection and other risk assessments.
- Collaborate with data scientists engineers and product teams to integrate models into our fintech platforms.
- Implement realtime monitoring systems to track transactional and behavioral data for anomaly detection and fraud prevention.
- Utilize machine learning techniques for continuous improvement of monitoring systems.
- Conduct indepth data analysis to identify trends patterns and potential risks.
- Stay abreast of regulatory requirements in the fintech industry and ensure compliance in risk analytics practices.
- Provide guidance on risk implications for new initiatives.
- Design and execute stress tests and scenario analyses to assess the resilience of our systems to various risk factors.
- Develop strategies to mitigate identified risks.
- Develop and produce regular reports on key risk metrics performance indicators and mitigation strategies.
- Communicate risk insights to senior management and relevant stakeholders.
Qualifications:
- 2 years of experience in risk analytics within the fintech or financial services industry.
- Strong proficiency in statistical modeling machine learning and data analysis tools (e.g. Python R SQL).
- Experience with realtime analytics and monitoring systems.
- Solid understanding of fintech products regulatory landscape and risk management concepts.
- Excellent communication presentation and stakeholder management skills.
risk analytics,fintech,data analysis
Job tags
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