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
Full-time
Company
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