Responsibilities

• Analyze and interpret complex data sets related to lead qualification, anomaly detection, fraud prevention, and underwriting.
• Develop predictive models to improve the accuracy of our financial assessments and support product initiatives.
• Collaborate with cross-functional teams to identify business needs and deliver data-driven insights.
• Design experiments to evaluate the impact of product changes on user behavior and financial outcomes.
• Monitor and refine existing models to ensure performance and accuracy over time.
• Present findings and recommendations to stakeholders clearly and effectively.
• Stay updated with industry trends and best practices in data science and fintech.

Requirements

• Master’s degree in Data Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist, preferably in the fintech or financial services sector.
• Strong proficiency in statistical analysis and machine learning techniques.
• Experience with data visualization tools and programming languages such as Python, R, or SQL.
• Ability to work independently and collaboratively in a remote-first environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, both written and verbal, with the ability to convey complex information to non-technical stakeholders.

Benefits

• Competitive salary and equity options.
• Flexible working hours and a fully remote work environment.
• Generous vacation policy to promote work-life balance.
• Professional development opportunities and resources.
• A supportive and inclusive team culture that values diversity.
• Opportunity to significantly impact the growth and success of our fintech initiatives.