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Data Scientist


Data Scientists able to develop machine learning models on huge datasets and use statistical methods
to find patterns within data.

Main Tasks:
- Process and analyse large and complex customer data sets in a big data ecosystem with PySpark.
- Build machine learning algorithms to address business request.
- Identify new analytics trends to drive the application of specific algorithms in the area of Credit Risk Management, CRM and Fraud Detection.
- Report methodology and rationales in technical reports.
- Synthetize complex results or processes into simple, clear visualization, presentations and communication of findings.
- Collaborate to the realization of Iason’s development projects and research.

Modern Finance Industry is dynamic and fluid.
To drive the value, you must truly understand the risks and price them in offered products. To do this, you need analytics and models that are all encompassing, and based on concepts and practices actually used by market participants. Iason provides the quickest and easiest way to implement effective solutions to the fast changing derivatives environment.

Iason provides solutions that enable managers, risk-control officers and front office people to understand and value their portfolios. All solutions are built on the principles of soundness, accuracy, and clearness.

Soundness drives concepts based on the most advanced available theory and most accepted market practices. Accuracy drives analytics and modeling that are all-encompassing.

Clearness drives easy to understand results.