Requirements
- 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.
Nice to Have
- Experience in working with secure code development guidelines and coding practices (i.e. OWASP, NIST)
Work Arrangement
Hybrid
Additional Information
- Flexible hybrid working
- 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
