Financial & Risk Data Analytics Lead

Job Description: wiZeHR has been retained to find a highly skilled Financial & Risk Data Analytics Lead to join our client's dynamic team. This role is ideal for a data professional with at least 7 yrs. of experience in financial services, risk analytics, and process optimization, who can translate complex data into strategic business insights. Position Summary:The successful candidate will play a pivotal role in designing and maintaining data-driven risk models, financial forecasting tools, and decision-support frameworks. This position offers an opportunity to work closely with executive leadership and cross-functional teams to enhance risk mitigation, operational efficiency, and portfolio performance.Key Responsibilities:Financial & Risk AnalyticsDevelop and refine risk assessment models to support financial decision-making and operational strategy.Analyze large and complex datasets to identify trends, anomalies, and predictive insights that drive business performance.Collaborate with stakeholders to enhance credit risk, fraud detection, and operational risk frameworks.Implement rule-based systems and automated analytics solutions to improve accuracy and efficiency in risk management.Data Strategy & Insights·       Lead the design and execution of data analytics frameworks that enhance financial modeling and risk assessment.·       Create and maintain dashboards, reports, and visualization tools using Tableau, Power BI, or similar platforms.·       Develop predictive analytics models to support strategic planning, investment decisions, and revenue forecasting.·       Ensure the integration and quality of data from various sources, maintaining accuracy and consistency.Collaboration & Performance Optimization·       Partner with finance, operations, and leadership teams to drive data-driven decision-making.·       Optimize data processes and improve analytical methodologies to enhance efficiency and business outcomes.·       Monitor and evaluate the performance of analytics systems, implementing continuous improvements.Key Qualifications:Bachelor's or Master's degree in Data Science, Statistics, Finance, Computer Science, or a related field.7+ years of experience in data analytics, with a strong focus on financial services, risk management, or fintech.Expertise in SQL, Python, R, and data visualization tools (Tableau, Power BI).Experience with predictive modeling, rule-based systems, and financial risk analysis.Familiarity with cloud platforms (AWS, Azure, Google Cloud) and data integration processes.Strong ability to translate complex data insights into actionable business strategies.Excellent communication and problem-solving skills to engage with cross-functional teams and leadership.

Created: 2025-02-07