Lead Quantitative Risk Analyst
October 31
Description
•Our mission is to make higher education accessible and affordable for everyone. •We empower students with financial support and supercharge their ability to pay down their debt. •Build tools that help people feel in control of their financial future, including private student loans, refinancing, and scholarships. •The Lead Quant Risk Analyst will report to the Head of Risk. •Manage and optimize our loss modeling and underwriting, ensuring frictionless risk optimization. •Define roadmap and strategy around risk modeling foundation. •Lead the quant risk team and collaborate with analytics, data science and cross-functional teams. •Set the technical direction for the team by proposing risk technologies, tools, and languages. •Implement and enforce data quality standards, data validation, and data governance processes. •Support development of data transformations on SQL/DBT, advanced analytics and reporting solutions on Looker to provide actionable insights.
Requirements
•2-3 year’s experience working with Financial Systems and/or Financial Data •4-6 years of experience in designing and building risk reporting using Snowflake (or other data warehouses) and Looker (or other visualization tools) •SQL Expert •Willingness to travel to the Oakland office monthly to collaborate with other Earnies. •Experience in Fintech •Python Expert
Benefits
•Health, Dental, & Vision benefits plus savings plans •Mac computers + work-from-home stipend to set up your home office •Monthly internet and phone reimbursement •Employee Stock Purchase Plan •Restricted Stock Units (RSUs) •401(k) plan to help you save for retirement plus a company match •Robust tuition reimbursement program •$1,000 travel perk on each Earnie-versary to anywhere in the world •Competitive days of annual PTO •Competitive parental leave
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