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Quantitative Risk Manager

https://www.randstad.com Logo

Randstad

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Location:
Greece , Athens

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Category:

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Are you ready to accelerate your career as a Quantitative Risk Manager in a high-growth, data-driven fintech environment? We are seeking a Quantitative Risk Manager who will play a key role in developing risk strategy, building credit decisioning frameworks, and driving advanced analytical initiatives across global markets. As a Quantitative Risk Manager, you will work with large-scale data, cutting-edge modelling techniques, and cross-functional teams to shape credit lifecycle performance and unlock strategic business impact.If you are passionate about applied analytics, risk innovation, and turning data into measurable results, we want to meet you.

Job Responsibility:

  • Measurement, monitoring and control of credit risk
  • Creation of a framework for the validation of risk models and strategies
  • Review and validate existing and new risk models to establish their accuracy and suitability
  • Review and validate credit risk policies
  • Conceptualize and define credit risk management reports
  • Provide expert support and guidance to all risk stakeholders on risk taking
  • Validate and support risk optimization systems
  • Provide detailed analysis and documentation of methods, techniques, and findings
  • Engage in innovative research tasks for risk quantification and model validation

Requirements:

  • Masters or PhD in a numerate subject
  • Minimum 5 years of direct experience on quantifying risk developing and enhancing financial and credit models
  • Minimum 5 years of experience using Python, R or Matlab
  • Minimum 5 years of experience using and retrieving data from structured datasets (SQL)
  • Advanced understanding of market and credit risk quantification methods
  • Advanced understanding of model validation techniques for both credit and market risk models
  • Experienced in managing and developing a team of quantitative risk analysts and validation specialists
  • Excellent analytical skills, evidence of statistical/machine learning models and algorithms development
  • Excellent ability to work under pressure, formulate and articulate solutions and defend assumptions
  • Excellent ability to solve real world business problems using quantitative and computational techniques
  • Excellent interpersonal, analytical, verbal and written communication skills
  • Excellent ability to communicate technical ideas to colleagues outside the domain
  • Excellent analytical and organizational skills with acute attention to details
  • Experience in working with secure code development guidelines and coding practices (i.e. OWASP, NIST)

Additional Information:

Job Posted:
March 23, 2026

Expiration:
March 30, 2026

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