Data Modeler

Top Skills

• Bachelor's degree in mathematics, computer science, engineering, statistics, fintech or related field.
• Minimum of 5 years of experience in Financial Services, with a strong focus on data intelligence and analysis.
• Proven expertise in risk assessment, data analysis technologies and tools.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.

Key Responsibilities:

• Develop and implement advanced statistical models and machine learning algorithms to
• solve complex financial problems.
• Analyze large and complex financial datasets to identify trends, patterns, and
• opportunities for increased controls and enhanced risk mitigation.
• Build predictive data models for risk assessment.
• Forecast, track, and measure key metrics.
• Collaborating with IT and finance teams to translate data insights into actionable
• strategies and initiatives to implement.
• Staying current on financial industry best practices and emerging risk factors.
• Conducting regular security audits and penetration testing.
• Analyzing security incidents and implementing corrective actions

Preferred Qualifications:

• Experience in financial services industry retail banking products
• Experience in data analysis and financial risk management
• Knowledge of forensic financial auditing techniques.
• Proficiency in scripting and programming languages (e.g., Python, Bash, SQL)
• Understanding of network security, encryption and access control principles.
• Knowledge of machine learning and data analytics.
• Relevant certifications such as CDA, CRMA or similar are highly desirable