Description
Job Description
Transform business cases to data science (DS) tasks
Identify (DS) opportunities based on data availability
Support and lead the team regarding technical innovation – algorithms, tools, etc.
Hands-on statistical programming
Credit Risk Scorecards development – application, behavior, etc.
Management-ready action points – transform the DS results into comprehensible and actionable insights
Knowledge sharing
Requirements
Required: University degree or equivalent standard with a high numeric content: statistics, econometrics, business administration/ economics, mathematics, finance, etc.
Required: Independent person that can work and deliver projects on their own
Required: 2+ years of experience in the analytics field – very strong statistical background along with portfolio of business cases solved leveraging advanced analytics techniques
Required: Experience with the following software tools – R, Python or similar
Preferred: Experience with hands-on credit risk scorecards development
Preferred: Domain knowledge in the Credit Risk working for a banking or non-banking financial institution
Preferred: Experience with big data tools – SPARK, Hive, AWS... is considered a plus but is not mandatory
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