Data Scientist
Employer · 147 MS Hungary Analytics KFT
Mathematician
Systems analyst
Business analystFull-timeBudapest District IX, Millennium Tower
We are seeking a Data Scientist to join the CDRR Technology team within the Fraud Department. The position is responsible for the development of statistical and machine learning models used to identify, assess, and mitigate fraud risk across Morgan Stanley products. You will independently execute end-to-end model development, monitor deployed models, and partner with Data Scientists, Data Engineers, and other stakeholders to support robust, scalable modelling solutions.
Tasks
- Independently execute end-to-end model development, including technical documentation.
- Develop and evaluate models for highly imbalanced, non-stationary, and adversarial environments where fraud patterns, customer behaviour, and operational processes evolve over time.
- Apply statistical and mathematical principles to model selection, validation, and performance assessment.
- Monitor deployed models, diagnose performance degradation, assess emerging fraud patterns, and recommend recalibration, redevelopment, threshold changes, or retirement as appropriate.
- Provide technical guidance and mentoring to junior Data Scientists and Data Engineers.
- Perform exploratory data analysis and construct analytical datasets from large, complex, and imperfect real-world data.
- Conduct feature engineering and select appropriate supervised and unsupervised machine learning techniques.
- Train, test, and evaluate machine learning models using appropriate statistical methodologies and performance metrics.
- Manage assigned model development projects independently, with guidance from senior members of the team.
- Partner with Data Scientists, Data Engineers, and other stakeholders to support the development and implementation of robust, scalable modelling solutions.