Financial Risk Specialist

Job Summary

We are seeking a Financial Risk Specialist to apply deep risk management expertise toward the development and refinement of advanced AI systems. In this remote role, you will translate real-world financial risk practices into structured insights that enhance AI-driven risk modeling, forecasting, and compliance analysis. This opportunity is ideal for professionals who combine strong quantitative skills with a practical understanding of financial markets, regulation, and enterprise risk management.

Key Responsibilities

• Identify, assess, and analyze financial risks impacting assets, earnings, capital, and overall organizational performance.
• Interpret regulatory developments and financial legislation to evaluate implications for risk exposure and AI model alignment.
• Apply econometric modeling, statistical software, and advanced quantitative techniques to assess market, credit, liquidity, and operational risk.
• Collaborate with traders and financial strategists to capture practical risk insights and translate them into structured AI training inputs.
• Research and incorporate contemporary financial literature, risk methodologies, and statistical innovations into AI training datasets.
• Evaluate AI-generated risk outputs for realism, compliance accuracy, and methodological soundness.
• Clearly communicate complex risk findings and recommendations in written documentation and virtual presentations.
• Partner with cross-functional teams to ensure AI systems reflect real-world financial risk frameworks and industry best practices.

Required Skills and Qualifications

• Demonstrated experience in financial risk analysis within banking, asset management, trading, insurance, or related sectors.
• Strong proficiency with statistical analysis software and econometric modeling tools.
• Expertise in both quantitative and qualitative risk assessment methodologies.
• Deep understanding of financial regulation, compliance frameworks, and legislative interpretation.
• Exceptional written and verbal communication skills.
• Experience collaborating with traders, portfolio managers, or financial strategists.
• Commitment to continuous professional learning and staying current with financial literature.
• Ability to work independently and collaboratively in a fully remote environment.

Preferred Qualifications

• Experience contributing to AI model training, validation, or machine learning initiatives in finance.
• Financial Risk Manager (FRM) certification or equivalent credential.
• Advanced degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field.

Key skills/competency

• Financial Risk Analysis
• AI Systems Development
• Econometric Modeling
• Statistical Software
• Quantitative Risk Assessment
• Financial Regulation
• Compliance Frameworks
• Machine Learning
• Financial Markets
• Enterprise Risk Management