Job Description:
Leading Fintech seeking Chief Data Scientist with a background in lending (SMB preferred) and credit risk to help drive strategies through advanced analytics and data science across the risk management lifecycle i.e., acquisition, underwriting, portfolio management and collections. This role will manage a team of 6.
Responsibilities
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Leverage analytics and data science to drive optimal decision-making across the customer risk management lifecycle i.e., acquisition, underwriting, operations, portfolio management and collections.
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Manage and build a team
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Monitoring performance and investment return across acquisition channels and using analytics to improve overall results
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Enhancing underwriting rules, default model and offer logic
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Exploring new data sources to improve overall risk management
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Enhancing early warning portfolio management strategies for accounts that require immediate attention
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Provisioning, liquidity and stress-testing
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Analytics associated with a securitization
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Enhancing collections strategy and collectability model
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Monitoring standard risk management KPIs and taking appropriate actions
Qualifications
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Degree in a quantitative discipline such as Engineering, Mathematics, Physics etc
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Team building and management
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Strong applied statistics and machine learning skills
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5+ years in lending and credit (small business lending a plus)
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Creativity and ability to turn data into actionable strategies that will drive business results
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Excellent coding skills in at least one statistical language, preferably Python
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Strong communication and influencing skills
Keywords: Online Lending, Credit Risk, Data Science, Machine Learning
Send an updated resume to Ilana Raz, ilana@analyticrecruiting.com | For more opportunities, please visit www.analyticrecruiting.com
