About the role

Senior Data Scientist designing and delivering AI models for credit risk optimization at fintech company. Involves collaboration with quantitative risk experts and traders.

Responsibilities

Design, develop and optimize advanced machine learning and statistical models that support risk management, pricing and decision-making processes.
Lead end-to-end model development initiatives, from problem definition and solution design to production deployment and ongoing monitoring.
Design algorithmic solutions that support performance and revenue optimization across Optasia’s products.
Develop and evolve model frameworks, methodologies and best practices within the AI team.
Work on complex financial products and large-scale decision-making systems, supporting real-time model use cases.
Identify, evaluate and validate key model drivers and assumptions using large and complex datasets.
Collaborate closely with quantitative risk experts, traders, data engineers and machine learning infrastructure engineers within the Data & Risk department.
Ensure model robustness, explainability and alignment with internal governance and risk standards.
Act as a technical reference point, clearly communicating model behavior, assumptions and trade-offs to business and senior stakeholders.

Master’s degree or PhD in Data Science, Statistics, Mathematics, Finance, Computer Science or a related quantitative field.
6–7+ years of experience in Data Science, Machine Learning or quantitative risk analysis, preferably in financial services.
Strong expertise in advanced machine learning, statistical modeling and optimization techniques.
Advanced understanding of credit risk modeling, validation methodologies and portfolio analytics.
Strong coding skills in Python & SQL and experience working with large-scale data environments.
Proven ability to design and implement production-grade AI models.
Excellent analytical, problem-solving and decision-making skills.
Ability to operate effectively under pressure in dynamic, real-time environments.
Excellent communication skills, with the ability to clearly articulate complex concepts and assumptions.
Strong judgment and critical thinking skills.
Self-motivated, proactive and highly accountable.
Strong collaboration and stakeholder management skills.
Creative and solution-oriented mindset

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
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