Experience with Python 3 is a must
Experience in Scientific Python stack like Numpy, SciPy, Pandas is a must (2 year)
At least Upper Intermediate English Level is a must
Good business communication skills
Knowledge of the following: Matlab/Octave, R is a plus
Knowledge of Economic Simulations and Actuarial Calculations is a plus
Understanding theoretical concepts of statistics/probability is a must
Understanding theoretical concepts of data mining, machine learning is a must
Ability to work independently with limited supervision
Ability to handle multi-tasking activities
Ability to learn quickly
Master degree in Mathematics, Physics, Computer Science or similar
Above average compensation and competitive Social package
Opportunity to participate in various internal/external events (educational programs, seminars)
Comfortable office with modern infrastructure
Flexible working schedule
Challenging tasks
Dynamic environment with low level of bureaucracy
Collecting, transforming and reprocessing raw data to prepare it for analysis
Deriving descriptive statistics out of the reprocessed data
Building statistical and probabilistic models
Designing, developing, training and testing data mining, machine learning and artificial intelligence models and algorithms
Providing comparative research on different algorithms and models
Our project is a cloud-enabled, scalable, and award-winning High Performance Computing enterprise risk management solution that allows (re)insurers and pension funds to access next generation technology to rapidly solve today’s key insurance challenges such as hedge strategy testing, regulatory and economic forecasting.