Senior Quantitative Risk Data Scientist, Fintech

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.

We are seeking enthusiastic professionals who are energetic, results-driven, and have a can-do attitude, who want to be part of a team of like-minded individuals delivering solutions in an innovative and exciting environment.

Senior Quantitative Risk Data Scientist are significant contributors of Optasia’s advanced algorithmic trading and portfolio optimization unit. As a 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.

• Design and implement algorithmic solutions for revenues optimization through credit risk analysis.
• Deliver credit-risk insights through big data risk analytics.
• Develop and implement 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.

• 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.

• 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)

What we offer:

• 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
• 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

• #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.