Credit Risk Analyst

Responsibilities

• Develop predictive scoring models for credit decision-making and look for their points of growth through new internal and external data.
• Develop and optimize limit and rate policies.
• Implement built-in models in online scoring.
• Evaluate product profitability and build NPV models.
• Analyze the loan portfolio.
• Bring raw data to real-world applications in processes and deliver business results through ML.
• Interact with business, DWH, Developers, and Product Analysts.
• Work through reporting requirements.

Requirements

• You have an understanding of ML and data analytics.
• Ready to take a deep dive into ML, business processes, data, and cause-and-effect relationships.
• Have experience in lending to SMEs or individuals.
• Ready to drive things around you and always looking for ways to make processes even better.
• Love math and speak the language of numbers and theorems.
• Inspired by the real business impact of your actions.
• Have experience building NPV models.
• Have experience with Python, SQL.
• Python library development skills, project management experience and the ability to present the results of your work well would be a plus.
• Have work experience of 3–6 years.

Conditions and benefits

• Relocation to company offices in Kazakhstan or Cyprus.
• A modern MacBook Pro and other equipment necessary for work.
• Unlimited opportunities for professional and career growth; regular external and internal training from our partners.
• Partially or fully paid additional training courses; English classes with a teacher in the office.
• Personal growth programs in which we set goals and move towards them together.
• Become part of an international team of professionals and just good people who, together, create one of the coolest success stories in the global IT industry.