Quantitative Risk Data Scientist, Fintech
欧普泰西亚是一家实时金融情报公司。我们构建了精密智能，可以在规模上开放财务机会，每天运行数百万个自动化信用决策，在高增长市场中，正式的信贷数据有限。我们的人工智能驱动平台将允许行为数据和实时信号转换为准确，负责任的信贷决策。嵌入电信系统，银行，数字钱包和其他合作伙伴的系统，它帮助他们扩展相关金融服务给更多的人员，同时保持强大的投资组合控制，并打开以前无法达到的利性新领域。作为 Optasia 的信用组合优化团队成员，你将有机会结合风险管理，研究和技术学科来运营多个项目中的交易策略。对于这些领域，我们需要帮助你了解更多信息，并提供相关信息。这就是为什么 Optasia 将潜力转换成财务进步，负责任和规模。我们正在寻找热情专业人士，具有能量，以结果驱动和做好态度的人，希望成为一个创新和令人兴奋的环境中提供解决方案的同思维人员团队的一部分。数量风险数据科学家是 Optasia 高级算法交易和投资组合优化的重要贡献者。作为 Optatia 的信贷组合优ೀಕರಣ团队成员你将有机会融合风险管理学科，研究和科技，在多项目的跨行业战略运作。你将在实时过程中利用你的经验和知识来做出关键决策，同时与经验丰富的交易商，大数据和机器学习工程师密切合作以确保系统性能最佳。你将要做的什么？·通过信用风险分析设计和实施营收优化算法解决方案。·通过大数据风险分析提供信贷风险见解。·开发和实施监控和管理信用风险投资组合风险评估工具和程序。·对微型贷款和其他金融产品进行详细风险分析，优化风险模型以改善决策。· 通过使用大型数据集的先进计算方法识别和评估信用风险因素。· 为支持风险管理策略开发包括统计学和机器学习方法在内的预测模型。· 与数据科学家，数据与机器学习工程师密切合作。·不断完善和改进风险评估方法以适应市场状况的变化。你将带来什么？· 数据科学，统计学，金融，数学等专业的本科或士学位
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Optasia is a real-time financial intelligence company. We build precision intelligence that unlocks financial opportunity at scale, running millions of automated credit decisions every day across high-growth markets where formal credit data is limited. Our AI-powered platform turns permitted behavioural data and real-time signals into precise, responsible credit decisions. Embedded within the systems of telcos, banks, digital wallets and other partners, it helps them extend relevant financial services to more people while maintaining strong portfolio control and opens profitable new segments that were previously out of reach. This is how Optasia turns potential into financial progress, responsibly and at scale.
We are seeking for enthusiastic professionals, with energy, who are results driven and have can-do attitude, who want to be part of a team of likeminded individuals who are delivering solutions in an innovative and exciting environment. Quantitative Risk Data Scientist significant contributors of Optasia’s advanced algorithmic trading and portfolio optimization unit. As member of the Credit Portfolio Optimization team in Optasia, you will have an opportunity to combine the disciplines of risk management, research, and technology to operate trading strategies across multiple projects. You are expected to leverage your experience and knowledge in making critical decisions in real-time processes, while working closely with experienced traders, big-data, and machine-learning engineers to ensure optimal system performance.
What you will do
- 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.
What you will bring
- 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, preferably within the financial services sector.
- Expertise in developing and implementing algorithmic models for revenue and risk optimization.
- Strong proficiency in statistical modeling, with experience in machine learning models.
- Proficiency in programming languages such as Python or R, with extensive experience in big data risk analytics.
- Demonstrated ability to develop and implement portfolio risk assessment tools.
- Strong problem-solving skills and attention to detail in analyzing complex data sets.
Your key attributes
- Excellent judgment and problem-solving skills
- Self-motivated, self-directed, resourceful and in possession of a high level of personal initiative
- Communication skills
- Creative skills
- Experience in working with secure code development guidelines and coding practices (i.e. OWASP, NIST)
Why Optasia?
Optasia is a high-growth, AI-powered financial infrastructure platform serving over 432 million users in emerging markets across Africa and Asia. By harnessing the power of AI and real-time data we unlock financial opportunities for customers. We have been recognized as a top fintech by Forbes Middle East, culminating in a successful JSE listing in 2025.
At Optasia, our global team builds the tech, products and services which will change the game for the world's unbanked population. We empower our people by offering unique employee experiences and support individual careers by prioritizing well-being and embracing flexibility.
Benefits include:
- Work from anywhere policy
- Competitive remuneration package
- Extra day off on your birthday
- Performance-based bonus scheme
- All the tech gear you need to work smart
Originally posted on Himalayas