About the job
Optasia is a leading B2B2X financial technology platform dedicated to enhancing scoring, financial decision-making, disbursement, and collection processes. Our mission is to drive financial inclusion for everyone, and we are passionate about transforming the financial landscape.
We are on the lookout for dynamic and motivated professionals who are results-oriented and possess a proactive mindset. Join a team of like-minded individuals who are innovating solutions in an exciting work environment. As a Senior Quantitative Risk Data Scientist, you will play a crucial role in Optasia's algorithmic trading and portfolio optimization unit. As part of the Credit Portfolio Optimization team, you will merge your expertise in risk management, research, and technology to implement trading strategies across various projects. You will utilize your insights and knowledge to make real-time critical decisions while collaborating with experienced traders, big data specialists, and machine learning engineers to optimize system performance.
Your Responsibilities
- Develop and implement algorithmic solutions aimed at optimizing revenues through credit risk analysis.
- Generate credit-risk insights using advanced big data analytics.
- Create and execute portfolio risk assessment tools and procedures to effectively monitor and manage credit risk.
- Conduct in-depth risk analysis on microloans and other financial products, refining risk models to enhance decision-making processes.
- Identify and assess credit risk factors using sophisticated computational techniques on extensive datasets.
- Build predictive models, employing both statistical and machine learning methods, to bolster risk management strategies.
- Work collaboratively with fellow data scientists and machine learning engineers.
- Continuously enhance and refine risk assessment methodologies to keep pace with evolving market conditions.
- Mentor junior and mid-level quantitative analysts, fostering an environment of collaboration and knowledge sharing.
- Stay informed about industry trends, emerging technologies, and evolving methodologies to maintain best-in-class risk management practices.

