FS-RISK CONSULTING-FSRM - QTB-MANAGER

You will be joining EY's Financial Services Office (FSO) as a Quantitative Analyst & AI Model Development Specialist within the Business Consulting QAS - Quantitative Trading Book (QTB) profile. In this role, you will play a vital part in leveraging advanced machine learning techniques and quantitative analysis to enhance risk management and compliance frameworks for various financial institutions and capital markets participants. **Key Responsibilities:** - Develop and implement advanced AI models, including generative and traditional AI, to support quantitative trading strategies and investment management. - Apply machine learning algorithms to enhance BSA/AML models, ensuring robust compliance and risk mitigation. - Collaborate with cross-functional teams to integrate AI and quantitative solutions into business processes, enhancing risk management and regulatory compliance. - Mentor and guide junior consultants, fostering a culture of learning and knowledge sharing. - Stay current with industry trends, particularly in financial services, to address client challenges with cutting-edge solutions. **Qualification Required:** - A degree in Mathematics, Engineering, Computational Finance, Artificial Intelligence, Machine Learning, or a related field, with a strong quantitative background. - At least 2 years of hands-on experience in AI model development, including Gen AI and Traditional AI techniques. - Proficiency in quantitative analysis and model development for investment management like portfolio optimization, asset allocation, risk/return trade-offs (alpha, systematic, and factor) as well as tracking error computations and Fama French model. - Knowledge of BSA/AML regulations and ability to develop models that detect, prevent, and report money laundering and other financial crimes. Familiarity with Know Your Customer (KYC), Customer Due Diligence (CDD), Enhanced Due Diligence (EDD), and Transaction Monitoring Systems. - Strong programming skills in Python, Java, C++, or R, with experience in ML frameworks such as TensorFlow, PyTorch, or JAX. - Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.,