Senior 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 revenues optimization though credit risk analysis.
• Deliver credit-risk insights through big data risk analytics.
• Development and implementation of portfolio risk assessment tools and procedures to monitor and manage credit risk.
• Conduct detailed risk analysis on microloans and other financial products, optimizing risk models to improve decision-making.
• Identify and evaluate credit risk factors using advanced computational methods on large datasets.
• Develop predictive models, including both statistical and machine learning approaches, to support risk management strategies.
• Collaborate closely with data scientists and data & machine learning engineers.
• Continuously refine and improve risk assessment methodologies to align with evolving market conditions.
• Mentor and guide junior and mid-level quants, fostering a collaborative and knowledge-sharing environment.
• Stay current with industry trends, new technologies, and evolving methodologies to ensure best-in-class risk management practices.

Requirements

• Bachelor’s or Master’s degree in Data Science, Statistics, Finance, Mathematics, or a related field; a PhD is a plus.
• Extensive experience (6+years) in quantitative risk analysis, with a proven track record in the financial services industry.
• Strong expertise in algorithmic modeling and optimization techniques, with a focus on revenue and credit risk management.
• Advanced proficiency in statistical modeling and machine learning models.
• Strong coding skills in programming languages such as Python or R, with significant experience in big data risk analytics.
• Proven ability to develop and implement portfolio risk assessment tools and procedures.
• Excellent analytical, problem-solving, and decision-making skills.

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
• Be a part of a multicultural working environment
• Continuous training and access to online training platforms
• Wellbeing activities access such as free on-site yoga classes, plus available squash court on our premises