Quantitative Risk Data Scientist (Fintech)

Location: Athens, Attica, Greece; hybrid workplace

Company

hirify.global is an AI-powered financial intelligence and infrastructure company that uses behavioural data and real-time signals to support responsible credit decisions across emerging markets.

What you will do

• Design and implement algorithmic solutions for revenue optimization through credit-risk analysis.
• Deliver credit-risk insights using big-data analytics and identify risk factors in large datasets.
• Develop portfolio risk assessment tools and procedures to monitor and manage credit risk.
• Analyze microloans and other financial products and optimize risk models for decision-making.
• Build predictive statistical and machine-learning models for risk-management strategies.
• Collaborate with data scientists and data and machine-learning engineers to improve risk methodologies and system performance.

Requirements

• Bachelor’s or master’s degree in data science, statistics, finance, mathematics, or a related field.
• 2–5 years of experience in quantitative risk analysis, preferably in financial services.
• Experience developing and implementing algorithmic models for revenue and risk optimization.
• Strong statistical-modeling skills and experience with machine-learning models.
• Proficiency in Python or R and extensive experience with big-data risk analytics.
• Experience developing and implementing portfolio risk assessment tools.
• Strong problem-solving skills and attention to detail when analyzing complex datasets.
• Excellent judgment, communication, creativity, self-direction, resourcefulness, and personal initiative.
• Experience with secure-code development guidelines and coding practices, including OWASP and NIST.

Culture & Benefits

• Hybrid work in Athens, Greece, with a work-from-anywhere policy listed among the benefits.
• Flexible, well-being-focused employee experience supporting individual career development.
• Competitive remuneration package and performance-based bonus scheme.
• Extra day off on the employee’s birthday.
• Technology equipment provided for work.