At Renmoney, we believe finance should be simple, useful and accessible to everyone. That’s what makes us really passionate about leveraging data driven insights to help us understand you better and build useful financial products for your personal and business needs - like convenient loans to help you do more today, savings to keep you on track for your goals and investments that’ll generate more money for you.
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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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