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
Skills Required
- Bachelor's or master's degree in data science, statistics, finance, mathematics, or a related field
- 2–5 years of experience in quantitative risk analysis, preferably in financial services
- Experience developing and implementing algorithmic models for revenue and risk optimization
- Strong proficiency in statistical modeling and machine learning models
- Proficiency in Python or R
- Extensive experience in big data risk analytics
- Experience developing and implementing portfolio risk assessment tools
- Strong problem-solving skills and attention to detail when analyzing complex datasets
- Experience with secure code development guidelines and practices, including OWASP and NIST
What We Do
We deliver Optasia, the AI Platform enabling financial access for the next billion customers. We are changing the world our way. Α versatile, data-driven B2B2X (business-to-business-to-customers and SMEs) financial technology platform for MNOs, mobile wallet operators and financial institutions, which provides them with accurate credit scoring for responsible financing decision-making. We support intelligent credit decisions, enable a broad range of financial services development and drive successful business models. All with ease, through our AI-led fully-automated decisioning algorithm, which allows us to efficiently make millions of decisions on financing, based on sophisticated data analysis. Thanks to our technology and network we provide powerful flywheel effects with repeatable and scalable growth levers, to help our partners grow and enable financial access to retail & SME customers across numerous markets. Operating since 2012 as Channel VAS and expanded in more than 35 countries in Africa, Middle East, Asia and LATAM with focus in emerging markets, Optasia Enabling credit decisions for an average of 116 million customers a month and had more than 980 million addressable subscribers in 2023, continuing to expand to new markets globally. Optasia has been chosen as an investment opportunity by top firms such as Abu Dhabi's Waha Capital in 2017, and Ethos, a leading South African investment company in late 2018. The company also obtained ISO 27001 Certification in late 2021. Founded as Channel VAS in 2012, we became Optasia in 2022, incorporating a brand identity that more broadly reflects our capabilities.
