Decision Scientist

• Develop credit and fraud scoring models along with other predictive models.
  
• Engage in ongoing optimization and automation of business processes.
  
• Craft KPI to gauge the effectiveness of risk strategies and business processes.
  
• Oversee project planning, execution, and progress tracking.
  
• Prepare requirements, liaise with stakeholders, manage timelines & expectations.
  
• Participate in/manage the full model lifecycle: deployment, monitoring, retraining, and updating.
  

Requirements

• Bachelor’s/Master’s degree in a technical or quantitative field such as statistics, mathematics, econometrics, economics, computer science.
  
•  Proficiency in Python.
  
•  Experience with databases (SQL, MySQL, etc.) and advanced MS Excel.
  
•  Proven track record using predictive analytics to impact business outcomes.
  
• Background in credit risk modeling: scorecards, vintage analysis, decision trees, roll rate analysis.
  
• Familiarity with analytical software, like Power BI, is a plus.
  
• Experience with ML Ops on AWS or other cloud-based platforms is an advantage.
  
• Minimum 2 years’ experience as Decision Scientist.
  

Benefits

• You’ll receive competitive compensation and work with amazing people. You’ll work in a beautiful environment with a flat structure and solve complex, real-world challenges.
  
• You'll join a team of top-tier professionals with backgrounds in leading consultancies and banks.
  
•  You'll play a pivotal role in cultivating a data-driven culture, placing data at the core of all our decisions.