Manager/Senior Manager- Forward Deployed Engineer (FDE) - Risk Consulting

Company not disclosed

Hong Kong, Hong Kong SAR
Salary not specified
Posted
Full-time
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Job Description

Position Overview We are seeking a highly skilled and entrepreneurial AI Forward Deployed Engineer (Manager / Senior Manager level) to join our Risk Consulting team. This is a hybrid, high-impact role designed for a professional who possesses a unique combination of deep market/traded risk domain expertise, consulting acumen, and hands-on AI/ML engineering capabilities. As a Forward Deployed Engineer, you will work directly on-site with leading financial institutions to design, prototype, and deploy production-grade AI, Generative AI (LLMs), and advanced analytics solutions to revolutionize their market risk, traded risk, and trading-floor operations. Key Responsibilities - AI-Driven Risk Solutions: Lead the design, development, and deployment of AI/ML and Generative AI (LLM) solutions tailored for traded risk management, market risk frameworks, and trading systems. - Rapid Prototyping & Deployment: Act as a "forward-deployed" engineer, working closely with clients to build proof-of-concepts (PoCs) and rapidly scale them into production-grade risk engines. - Risk Framework Transformation: Evaluate clients' legacy risk management frameworks, trading strategies, and valuation systems to identify areas ripe for AI-driven automation, predictive modeling, and optimization. - Advanced Analytics & Stress Testing: Formulate and implement advanced machine learning models and stress-testing scenarios to quantify potential losses in trading portfolios (Rates, FX, Credit, Equities, Structured Products) stemming from major market shifts. - Automated Risk Reporting & Operations: Architect, automate, and manage the production of next-generation risk monitoring pipelines (daily PnL attribution, VaR fluctuations, limit monitoring) utilizing GenAI, advanced data engineering, and modern visualization tools. - Bridge Business & Tech: Act as the translation layer between client Front Office traders, Risk Management executives, and internal/external AI/Data engineering teams to implement and refine risk controls. - Regulatory & Industry Alignment: Stay abreast of industry trends, regulatory changes (e.g., FRTB), and emerging AI standards to ensure all deployed models are compliant, explainable (XAI), and robust. - Business Development & Thought Leadership: Contribute to business development by showcasing live demos, writing technical whitepapers on AI in Risk, and pitching innovative AI consulting solutions to senior client stakeholders. - Team Mentorship: Mentor and coach junior consultants and engineers, fostering a culture of continuous learning across quantitative finance and modern software engineering. Qualifications & Experience Education & Experience: - A bachelor’s or master’s degree in a highly quantitative field: Computer Science, Financial Engineering, Data Science, Mathematics, or Physics. A professional qualification such as CFA, FRM, or CQF is highly desirable. - 6+ years of relevant experience spanning quantitative risk management, financial engineering, or machine learning engineering within global investment banks, top-tier securities houses, or leading consulting firms. Technical Skills (Core FDE Requirements): - Programming & Frameworks: Exceptional proficiency in Python and standard machine learning libraries (scikit-learn, PyTorch, TensorFlow). Strong SQL and database management skills are required. - Generative AI & LLMs: Hands-on experience with LLMs, prompt engineering, Retrieval-Augmented Generation (RAG) frameworks (e.g., LangChain, LlamaIndex), and vector databases. - Data & MLOps: Experience with data pipelines (ETL), cloud platforms (AWS, Azure, or GCP), and DevOps/MLOps practices (Git, Docker, CI/CD) for deploying models in secure enterprise environments. Risk Domain Knowledge: - Strong understanding of Market Risk and Traded Risk frameworks, including VaR, Expected Shortfall (ES), Stress Testing, Sensitivity Analysis, and regulatory standards (e.g., FRTB). - Solid knowledge of financial products (FICC, equities, derivatives, complex structured products) and related pricing/valuation methodologies. - Exposure to Counterparty Credit Risk, XVA, Liquidity Risk, or ALM/IRRBB is a significant plus. Consulting & Leadership Skills: - Proven experience in managing complex technical projects with multiple senior stakeholders. - Excellent problem-solving skills, with a track record of transforming ambiguous business problems into structured technical solutions. - Superb communication and presentation skills, with the ability to explain complex AI/ML concepts to non-technical, C-suite executives. - Fluency in English and Mandarin is essential for client engagement in Hong Kong and the wider Asia-Pacific region.

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