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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)