What are the responsibilities and job description for the Financial & Risk Data Analytics Lead position at wiZeHR Solutions?
Job Description:
We are seeking a highly skilled Financial & Risk Data Analytics Lead to join our client's dynamic team.
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.
Key Responsibilities:
- Financial & Risk Analytics:
- Develop 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.
