Key Responsibilities

Data Analysis and Modeling

• Develop predictive models for risk assessment and market analysis.

• Design machine learning algorithms for classification, regression and fraud detection.

• Create automated systems for customer behavior analysis.

Strategic Leadership

• Identify opportunities for data-driven solutions with stakeholders.

• Present analytical findings to executive management.

Required Qualifications

Education and Experience

• Bachelor’s Degree or higher in Computer Science, Statistics, Mathematics, Engineer or related field.

• Minimum 2 years of experience in financial data science.

Technical Skills

• Proficiency in Python, and SQL.

• Strong data analysis skills.

• Solid understanding of statistical analysis and modeling techniques.

• Excellent problem-solving skills and attention to detail.

• Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.

Domain Knowledge

• Understanding financial markets and banking operations.

• Financial modeling and quantitative analysis expertise.

• Understanding basic fraud detection and anomaly detection