Risk Analytics Specialist - SQL/Python

About the Role : 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. Role & Responsibilities : - Develop and maintain fraud detection systems and tools to proactively mitigate risks - Investigate suspicious activities and transactions, determining root causes and developing strategies and statistical models to prevent fraud occurrences - Design, plan, and execute Risk management dashboards to facilitate efficient data access, usage, and reporting of rule performance for internal and external stakeholders. - Support the development of analytical findings through reports, dashboards and data visualizations to monitor for fraud trends and raise the visibility of fraud threats - Collaborate with business stakeholders to define risk metrics and establish ongoing tracking mechanisms for monitoring risk rule performance across key deliverables - Work closely with the Fraud Operations and support team to respond to rapidly evolving threats and design appropriate risk solutions - Partner with data teams to enhance the development of robust data pipelines to support the creation and deployment of risk management rules. - Lead fraud risk assessments and quantify the fraud risk to 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. - Develop data science and machine learning (ML) models to generate customer, transaction, and pay mode trust scores, contributing to enhanced risk assessment capabilities. - Perform ad-hoc data extracts and analysis to support complex fraud investigations - Establish standards and procedures to enable data-driven solutions throughout the analytics lifecycle, from data collection to insights generation. Preferred Candidate Profile : - 2-4 years of experience in risk analytics, business intelligence, or related roles within the financial services/ecommerce industry. - Product Knowledge : Familiarity with fraud risks in payment aggregators, PPI, UPI, gift cards, and bill payments. - Fraud Expertise : Understanding of fraud schemes, fraud prevention techniques, and fraud management tools - 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, or similar. - Experience with data modeling, 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. (ref:hirist.tech)

Location: mumbai, IN

Posted Date: 3/31/2025