Executive Director / Director, AI Data Science (Fixed Income/Investment Banking)

At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries—including financial services, insurance, technology, media, and sports—by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees.  

We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development.  

You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation.  

At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses.  

As Executive Director on the AI Science team, you will lead the design and execution of high-impact AI and data science initiatives across TWG Global's fixed income and investment banking businesses. Reporting to the Managing Director of AI & Data, you will act as the senior technical leader for the function. You will drive enterprise-critical projects, set technical direction, and mentor a small team of data scientists working on pricing, risk, and capital markets problems.

You will partner closely with traders, bankers, risk leaders, and senior executives to align data science solutions with the firm's commercial priorities, ensuring advanced AI and quantitative methods are adopted responsibly and at scale. This role demands deep technical expertise in both machine learning and the mechanics of fixed income markets, paired with the ability to influence decision-makers and deliver measurable outcomes on the desk and across the enterprise.

• →Lead flagship AI/ML projects that drive measurable value across fixed income trading, credit, rates, and investment banking workflows, from pricing and execution to risk and origination.
• →Direct the development of models for valuing illiquid instruments, forecasting price and spread movements, modeling prepayment and default risk, and analyzing the yield curve and interest rate dynamics.
• →Act as senior technical authority on advanced AI methods (generative AI, causal inference, LLM-based analytics, RAG, simulation) and on their application to quantitative finance.
• →Translate complex desk-level and banking challenges into enterprise-grade data science solutions with tangible P&L and risk-adjusted ROI.
• →Mentor and guide a small team of data scientists, building technical excellence, modeling rigor, and responsible AI adoption.
• →Partner with trading desks, banking coverage teams, risk, MDs, and executive committees to ensure AI initiatives align with firm-wide priorities.
• →Represent TWG Global in external technical forums and partnerships with universities, regulators, and technology leaders.
• →Define standards for experimentation, reproducibility, and model governance, consistent with the controls expected in a regulated capital markets environment.
• →Stay ahead of emerging trends in AI/ML and quantitative finance, advising on adoption and firm-wide capability building.

• 10 or more years of experience in data science or machine learning, with proven delivery of enterprise-impact projects, including direct work in fixed income, capital markets, or quantitative finance.
• Strong expertise in advanced machine learning, causal inference, deep learning, statistical modeling, and time series analysis.
• Working knowledge of fixed income fundamentals: duration, convexity, yield curves, credit spreads, rate models, and the pricing of debt instruments and derivatives.
• Demonstrated success leading end-to-end projects and influencing senior stakeholders on a trading floor or within a banking or risk function.
• Hands-on technical depth in Python (or R), cloud-based platforms, and modern ML frameworks.
• Experience mentoring or leading small, high-performing teams.
• Master's or PhD in Data Science, Statistics, Computer Science, Financial Engineering, Quantitative Finance, or a related discipline.

• Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments.
• Familiarity with model risk management and validation standards (e.g., SR 11-7) and establishing standards for reproducibility, experimentation, and responsible AI in a regulated setting.
• Experience with market and tick data infrastructure, including KDB+/q or similar time series stores.
• Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics.
• Cloud or AI/ML certifications (e.g., AWS ML Specialty, Google Cloud ML Engineer, Azure AI Engineer) are a plus.