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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Develop credit and fraud scoring models along with other predictive models.
Engage in ongoing optimization and automation of business processes.
Craft KPI to gauge the effectiveness of risk strategies and business processes.
Oversee project planning, execution, and progress tracking.
Prepare requirements, liaise with stakeholders, manage timelines & expectations.
Participate in/manage the full model lifecycle: deployment, monitoring, retraining, and updating.
Requirements
Bachelor’s/Master’s degree in a technical or quantitative field such as statistics, mathematics, econometrics, economics, computer science.
Proficiency in Python.
Experience with databases (SQL, MySQL, etc.) and advanced MS Excel.
Proven track record using predictive analytics to impact business outcomes.
Background in credit risk modeling: scorecards, vintage analysis, decision trees, roll rate analysis.
Familiarity with analytical software, like Power BI, is a plus.
Experience with ML Ops on AWS or other cloud-based platforms is an advantage.
Minimum 2 years’ experience as a Decision Scientist.
Benefits
You’ll receive competitive compensation and work with amazing people. You’ll work in a beautiful environment with a flat structure and solve complex, real-world challenges.
You'll join a team of top-tier professionals with backgrounds in leading consultancies and banks.
You'll play a pivotal role in cultivating a data-driven culture, placing data at the core of all our decisions.
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