Senior Data Scientist, Fintech
Optasia
full-time
Posted on:
Location Type: Hybrid
Location: Athens • Greece
Visit company websiteExplore more
Job Level
About the role
- 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.
Requirements
- 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
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningstatistical modelingoptimization techniquescredit risk modelingvalidation methodologiesportfolio analyticsPythonSQLproduction-grade AI modelsdata science
Soft Skills
analytical skillsproblem-solving skillsdecision-making skillscommunication skillsjudgmentcritical thinkingself-motivatedproactiveaccountabilitycollaboration
Certifications
Master’s degreePhD