Quantitative Risk Data Scientist - Remote

Overview

Optasia is a fully-integrated B2B2X financial technology platform covering scoring, financial decisioning, disbursement & collection. We provide a versatile AI Platform powering financial inclusion, delivering responsible financing decision-making and driving a superior business model & strong customer experience with presence in 30 Countries anchored by 7 Regional Offices.

In Short

• Design and implement algorithmic solutions for revenue optimization through credit risk analysis.
• Deliver credit-risk insights through big data risk analytics.
• Develop and implement portfolio risk assessment tools and procedures to monitor and manage credit risk.
• Conduct detailed risk analysis on microloans and other financial products.
• Identify and evaluate credit risk factors using advanced computational methods.
• Develop predictive models to support risk management strategies.
• Collaborate closely with data scientists and machine learning engineers.
• Continuously refine and improve risk assessment methodologies.

Requirements

• Bachelor’s or master’s degree in data science, Statistics, Finance, Mathematics, or a related field.
• Proven experience (2-5 years) in quantitative risk analysis within the financial services sector.
• Expertise in developing and implementing algorithmic models for revenue and risk optimization.
• Strong proficiency in statistical modeling and machine learning models.
• Proficiency in programming languages such as Python or R.
• Demonstrated ability to develop and implement portfolio risk assessment tools.
• Strong problem-solving skills and attention to detail.

Benefits

• Flexible remote working.
• Competitive remuneration package.
• Extra day off on your birthday.
• Performance-based bonus scheme.
• Comprehensive private healthcare insurance.
• All the tech gear you need to work smart.