Financial Risk Specialist

Job Summary

Join our customer's team as a Financial Risk Specialist, where your financial acumen and analytical expertise will help build smarter, more robust AI models. In this dynamic role, you will leverage your risk management experience to inform and train cutting-edge AI systems that empower organizations to anticipate, quantify, and mitigate financial risk.

Key Responsibilities

Analyze potential risks impacting organizational assets, earnings, or overall success, ensuring comprehensive risk identification for AI training. Evaluate new legislation and regulatory changes to assess their impact on clients’ risk exposure and advise on model adjustments. Conduct sophisticated statistical analyses using econometric models and specialized software to quantify financial risk. Collaborate with traders to identify and articulate risks tied to trading strategies and positions, translating practical insights into actionable AI model improvements. Research the latest financial literature to integrate advanced models, methodologies, and statistical techniques into AI training datasets. Communicate findings, risk assessments, and recommendations clearly in both written documentation and verbal presentations to technical and non-technical stakeholders. Partner with cross-functional teams to ensure that all AI training materials reflect real-world financial risk scenarios and best practices.

Required Skills and Qualifications

Proven expertise in financial risk analysis, with hands-on experience utilizing statistical analysis software and econometric tools. Strong command of quantitative and qualitative risk assessment methodologies in finance or related sectors. Exceptional written and verbal communication skills, with a keen ability to convey complex concepts to diverse audiences. Track record of interpreting and applying financial legislation and regulatory guidelines in a business context. Demonstrated experience collaborating with traders or financial strategists to identify and mitigate risks. Up-to-date knowledge of current statistical models and financial literature, emphasizing continuous professional learning. Proficiency working in a remote, collaborative, and fast-paced digital environment.

Preferred Qualifications

Prior experience training, evaluating, or refining AI or machine learning models in a financial services context. Certified Financial Risk Manager (FRM) or a comparable credential. Advanced degree in Finance, Economics, Statistics, or a related quantitative discipline.