Quantitative Risk Analyst (Fintech)

TL;DR

Quantitative Risk Analyst (Fintech): Implementing and managing model risk strategies for statistical models, encompassing fraud detection and credit risk within a licensed credit institution. Focus on conducting independent reviews, strengthening AML/FT frameworks, and ensuring regulatory compliance and scalability of models.

Location: On-site in Paris

Company

hirify.global is a fast-growing fintech company offering Europe’s leading finance workspace to over 600,000 customers.

What you will do

• Implement model risk policy and inventory all models, ensuring compliance with internal policy and regulation.
• Conduct independent audits of modeling studies led by other teams to ensure robustness and compliance.
• Strengthen the AML/FT framework by improving transaction monitoring through statistical analysis.
• Help the Risk team build monitoring capabilities by identifying data sources and ensuring accurate risk indicators.
• Engage stakeholders to align teams on model governance and clearly communicate review outcomes.

Requirements

• Experience: At least 3 years of experience as a Machine Learning Engineer, Statistician, or Data Scientist, with a specific background in Banking, Fintech, or Insurance (ideally in Fraud or Risk).
• Technical Mastery: Proficient in Python (specifically Pandas and Scikit-learn) for financial modeling and strong SQL skills.
• Regulatory Knowledge: Solid understanding of regulatory frameworks (CI license), Model Risk Management, and the specific constraints of AML/FT.
• Communication: Excel at stakeholder management, capable of explaining complex model limitations and engaging effectively with technical and business partners.
• Builder Mindset: Autonomous and proactive, capable of structuring governance frameworks and processes independently.

Culture & Benefits

• Work with state-of-the-art statistical techniques and modern modeling pipelines.
• Unique opportunity to shape the model risk management framework from the ground up.
• Competitive salary package and meal vouchers.
• Great health insurance and access to Moka Care for mental health.
• Progressive disability and parenthood policy with childcare benefits.

Hiring process

• Interviews with your Talent Acquisition Manager and future managers.
• A remote or live exercise to demonstrate your skills.