Requirements
- Bachelor’s or Master’s degree in Data Science, Statistics, Finance, Mathematics, or a related field
- 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
Nice to Have
- A PhD is a plus.
- Experience in working with secure code development guidelines and coding practices (i.e. OWASP, NIST)
Work Arrangement
Hybrid
Additional Information
- Flexible remote 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
