As a Data Analyst & Scientist in the Fintech institution, you will play a pivotal role in extracting actionable insights from complex financial data sets. Your responsibilities will include analysing data, developing statistical models, and contributing to data-driven decision-making processes. The successful candidate will possess a strong analytical mindset, advanced technical skills, and a deep understanding of the financial domain.

KEY DUTIES AND RESPONSIBILITIES

• Collect, clean, and pre-process large volumes of financial data from various sources.
• Develop automated processes for data extraction and integration.
• Perform exploratory data analysis to identify trends, patterns, and outliers.
• Utilize statistical methods to extract meaningful insights from financial datasets.
• Collaborate with business stakeholders to understand data requirements and provide analytical support.
• Build predictive models to assess financial risk, fraud detection, and customer behaviour.
• Implement machine learning algorithms to optimize financial processes and enhance decision-making.
• Evaluate model performance and iterate based on feedback and changing business requirements.

REQUIREMENTS

• Bachelor’s degree in Economics, Computer Science, Statistics, or related field.
• Experience in data analysis, statistical modeling, and machine learning.
• Proficiency in programming languages like R and Python.
• Strong analytical skills with the ability to collect, organize, and analyze significant amounts of information with attention to detail and accuracy.
• Prior experience in a similar role within the fintech or financial services industry is preferred.
• Familiarity with data visualization tools (e.g., PowerBI, Tableau).
• Strong understanding of financial concepts, including risk management, financial modelling, and regulatory compliance.
• Excellent verbal and written communication skills to convey complex findings to diverse audiences.