Role: Fraud Risk Analyst
We are seeking a talented Risk Analytics Specialist to join our team. The Risk Analytics Specialist will play a critical role in driving data-driven decision-making and risk management strategies within our organization. This role requires expertise in data analytics, business intelligence, and risk management, along with the ability to collaborate effectively with cross-functional teams.
Experience Level : Minimum 3 years of experience in fraud/abuse risk analytics within the financial services industry (at least one area across TPAP, BillPay, GiftCards, eComm Payments, Loyalty Program Abuse)
Location: Mumbai
Key Responsibilities:
- Design, build and operationalize transaction rules and risk-scoring frameworks for real-time and near-real-time fraud prevention.
- Develop data science and machine learning (ML) models in partnership with central DS team to generate customer, transaction, and pay mode trust scores, contributing to enhanced risk assessment capabilities.
- Establish standards and procedures to enable data-driven solutions throughout the analytics lifecycle, from data collection to insights generation.
- Design, plan, and execute business intelligence (BI) projects to facilitate efficient data access, usage, and reporting of rule performance for internal and external stakeholders.
- Develop and deliver analytical tools to support the reporting of product and rule performance, leveraging data insights to drive informed decisions.
- Collaborate with business stakeholders to define successful metrics and establish ongoing tracking mechanisms for monitoring risk rule performance across key deliverables.
- Partner with data teams to enhance the development of robust data pipelines to support the creation and deployment of risk management rules.
- Share responsibility for the data warehouse, including data modelling activities tailored to the needs of risk management functions.
- Prepare and present solution designs and strategic plans to senior stakeholders, effectively communicating complex analytical concepts and recommendations.
Role Requirements:
- Minimum 3 years of experience in risk analytics, business intelligence, or related roles within the financial services industry.
- Proven track record of designing and implementing BI projects to support data-driven decision-making and reporting.
- Strong proficiency in data analysis tools and languages such as SQL, Python, R, or similar.
- Experience with data modelling, data warehousing, and data pipeline development.
- Familiarity with risk management principles and practices, including risk rule performance tracking and monitoring.
- Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Demonstrated ability to work effectively in cross-functional teams and collaborate with diverse stakeholders.
- Experience in developing and deploying data science and ML models is a plus.
- Working experience in tools such as Databricks, Microsoft Power BI is a plus.
Education:
- Bachelor's degree in a quantitative field such as statistics, mathematics, economics, or computer science.
- Good to have a post-graduate degree in Computer Science / Data Analytics / Machine Learning
