Quantitative Risk Data Scientist, Fintech

Optasia is a fully enabled B2B2X financial technology platform covering scoring, financial decisioning, disbursement and collection. We are committed to enabling financial inclusion for all. We are changing the world our way . 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 you should apply What we offer: 👟 Flexible hybrid 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 Optasia’s Perks: 🎌 Be a part of a multicultural working environment 🎯 Meet a very unique and promising business and industry 🌌 🌠 Gain insights for tomorrow market’s foreground 🎓 A solid career path within our working family is ready for you 📚 Continuous training and access to online training platforms 🥳 CSR activities and festive events within any possible occasion 🍜 Enjoy comfortable open space restaurant with varied meal options every day 🎾 🧘‍ ️ Wellbeing activities access such as free on-site yoga classes, plus available squash court on our premises Optasia’s Values 🌟 #1 Drive to Thrive: Fully dedicated to evolving. We welcome all challenges and learning opportunities. #2 Customer-First Mindset: We go above and beyond to meet our partners’ and clients’ expectations. #3 Bridge the Gap: Knowledge is shared, information is exchanged and every opinion counts. #4 Go-Getter Spirit: We are results oriented. We identify any shortcomings that hold us back and step up to do what’s needed. #5 Together we will do it: We are committed to supporting one another and to understanding and respecting different perspectives, as we aim to reach our common goals.