Staff Credit Risk Analyst

11 hours ago

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Logo of EarnIn

EarnIn

mobile payments β€’ financial services β€’ Fintech β€’ payroll β€’ financial health

201 - 500 employees

Founded 2013

πŸ’³ Fintech

☁️ SaaS

πŸ‘₯ B2C

πŸ’° $125M Series C on 2018-12

Description

β€’ Our Risk team has taken a unique approach to risk management, portfolio management, and interacting with our community members. β€’ You will have the opportunity to turn information into insights through analytics, data science, experimentation and help the company achieve tremendous growth. β€’ This role would be the representative of risk analytics for credit risk management. β€’ Proactively explore data and identify opportunities to refine our risk management strategies. β€’ Conduct pattern analysis by researching and analyzing risk trends and patterns, provide valuable information for use in building risk-prevention methods. β€’ Define performance metrics and develop reports to monitor risk mitigation performance. β€’ Integrated decision making in the business area considering broader economic P&L, brand and people impact. β€’ Work closely with machine learning team to improve risk models with business insights and past experience. β€’ Work cross-functionally with Machine Learning, Product, Engineering, Operations to mitigate risk. β€’ Evaluate innovative data sources to solve individual identity risk and transaction risk.

Requirements

β€’ An expert with SQL and experienced with Python β€’ 8+ years relevant experience in a credit risk analytics role in financial industry β€’ Working knowledge of the fundamentals of fintech risk. Have an understanding of industry risk trends, including familiarity with risk strategy development β€’ Communicate metrics and data clearly and able to translate analytical insights to business metrics β€’ Ability to apply statistics and probability concepts to split testing or LTV estimation β€’ Strong interpersonal skills and are able to work cross-functionally in the team environments β€’ Ability to think creatively and thrive in a fast-paced, dynamic, often ambiguous work environment

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