Vacancy: Risk Data Scientist / Risk Analyst
Company: Gauss Money (https://gauss.money/)
Job grade: Middle / Senior
Salary: 4500 - 5500 USD gross, discussed
Employment contract: fulltime, remote
Placement: Individual Entrepreneur
You will
⁃ work with a wide range of behavioral and transactional data
⁃ own Risk and Business Intelligence function (operations, analytics, and reporting)
⁃ develop data-driven champion/challenger decisions strategies to automate credit origination
⁃ design and deploy traditional and advanced machine learning (ML) models to iteratively improve business-critical models and systems that understand a user's behavior and credit risk
⁃ build source-of-truth credit portfolio and risk analysis dashboards to keep team fingers on the pulse
⁃ conduct in-product user research to fuel engineering & product teams with insights
⁃ provide support and guidelines along customers' journeys, ensure customer satisfaction and high-quality credit risk assessment/underwriting
You'll get
⁃ globally resellable and highly in-demand experience in FinTech
⁃ relocation Europe/CIS/Asia and compensation in the currency of your choice
⁃ experience with launching products in the most competitive market in the world
⁃ an opportunity to apply innovative approaches to consumer behavior analysis and management
⁃ steep learning curve across a wide range of hard and soft skills and responsibilities, including risk management
⁃ contribute to building products with a big social mission and world-class customer experiences
⁃ work closely with the founding team in an open, fast-moving, and fun environment
⁃ flexible hours
You got/can
⁃ BA or soon-to-BA in engineering, statistics, physics, math, economics, or similar from a top university
⁃ experience with financial services/credit risk management is a bonus
⁃ break complex problems into smaller ones
⁃ initiative, courage, and self-sufficiency
⁃ enjoy working with data and using tools such as SQL, Python, or SAS
⁃ good business English writing skills
Interested, pls apply your CV in telegram @linasyan
Post #387
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