Lead the development and implementation of advanced data science models.
Collaborate with stakeholders to understand requirements.
Drive best practices in data science.
Ensure data quality and integrity in all processes.
Mentor and guide junior data scientists.
Stay updated with the latest trends in data science.
Conduct thorough analysis with all available data tools and provide detailed insights which can be transformed into risk strategies that balances risk/reward trade-offs.
Set up detailed portfolio monitoring to ensure there is no fraud pressure and work with peers to mitigate fraud with a high level of urgency.
Continuously manage credit exposure and conduct sensitivity testing to optimize strategy.
Work closely to evaluate internal models and implement them in our risk strategies.
Partner with product and platform team to execute risk strategies and conduct A/B testing to optimize onboarding funnel.
Requirements
3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
5+ years of experience in financial technology, banking, or payments in developing and implementing risk strategies to mitigate losses.
Strong knowledge in data analytics to extract, analyze and transform data into risk strategy recommendations for profitable business growth.
Knowledge of existing/emerging regulatory frameworks related to consumer and SMB acquisition.
Well organized, with the ability to thrive in a fast-paced work environment and manage numerous projects simultaneously under deadline pressure.
Demonstrated ability to build/maintain relationships with key stakeholders to execute the risk roadmap.
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