Risk Data Scientist

Прямой работодатель  Gauss.money ( gauss.money )
Аналитика, Data Science, Big Data • Data Science • Финансовый анализ • Python • SQL • PostgreSQL • Банковская и страховая сфера
21 сентября
Удаленная работа
Опыт работы от 3 до 5 лет
Работодатель  Gauss.money
Описание вакансии


Gauss Money is a new fintech that changes how Americans use $1T (yes, trillion:) of credit card debt to make it more fair and friendly, enabling customers to move from debt to savings by rewarding disciplined debt payoff. We're looking for a driven and self-starting person to be in charge of our user understanding and happiness.

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

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