Revenue Optimization Specialist

24 hours ago

Athens, Attica, Greece beBeeQuantitativeRisk Full time
Senior Quantitative Risk Data Scientist

We are seeking an experienced Senior Quantitative Risk Data Scientist to join our team. The successful candidate will be responsible for designing and implementing algorithmic solutions for revenue optimization through credit risk analysis.

The ideal candidate will have a strong background in quantitative risk analysis, with experience in algorithmic modeling and optimization techniques. They will also have advanced proficiency in statistical modeling and machine learning models, as well as strong coding skills in programming languages such as Python or R.

The role requires excellent analytical, problem-solving, and decision-making skills, with the ability to work independently and collaboratively as part of a team. A Bachelor's or Master's degree in Data Science, Statistics, Finance, Mathematics, or a related field is required, with a PhD being a plus.

Key Responsibilities:
  • Design and implement algorithmic solutions for revenues optimization though credit risk analysis.
  • Deliver credit-risk insights through big data risk analytics.
  • Development and implementation of portfolio risk assessment tools and procedures to monitor and manage credit risk.
  • Conduct detailed risk analysis on microloans and other financial products, optimizing risk models to improve decision-making.
  • Identify and evaluate credit risk factors using advanced computational methods on large datasets.
  • Develop predictive models, including both statistical and machine learning approaches, to support risk management strategies.
Requirements:
  • Bachelor's or Master's degree in Data Science, Statistics, Finance, Mathematics, or a related field; a PhD is a plus.
  • Extensive experience (6+years) in quantitative risk analysis, with a proven track record in the financial services industry.
  • Strong expertise in algorithmic modeling and optimization techniques, with a focus on revenue and credit risk management.
  • Advanced proficiency in statistical modeling and machine learning models.
  • Strong coding skills in programming languages such as Python or R, with significant experience in big data risk analytics.
Benefits:
  • Flexible remote working.
  • Competitive remuneration package.
  • Extra day off on your birthday.
  • Performance-based bonus scheme.
  • Comprehensive private healthcare insurance.
  • All the tech gear you need to work smart.
Why You Should Apply:

At our company, we offer a unique opportunity to work on cutting-edge projects and develop your skills in a dynamic environment.

Our team is passionate about innovation and collaboration, and we are committed to supporting each other's growth and development.

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