TWG Global AI
Executive Director / Director, AI Data Science (Fixed Income/Investment Banking)
Santa Monica, California, United States · Director
Sponsorship not specified$299k-$390kDetected 30 days ago
PythonVector DatabasesAWSGCPAzureMachine LearningDeep LearningData ScienceLLMsRAGStatisticsA/B TestingForecastingMentoring
About the role
- Reporting to the Managing Director of AI & Data, you will act as the senior technical leader for the function.
Responsibilities
- 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.
- Mentor and guide a small team of data scientists, building technical excellence, modeling rigor, and responsible AI adoption.
- Stay ahead of emerging trends in AI/ML and quantitative finance, advising on adoption and firm-wide capability building.
Nice to have
- 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.
- Compensation The expected base pay for this position is $299,000-390,000.
Compensation
- $299k-$390k
Benefits
- Partner with trading desks, banking coverage teams, risk, MDs, and executive committees to ensure AI initiatives align with firm-wide priorities.
- 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.
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This listing is sourced directly from TWG Global AI's careers page and normalized into a canonical job model.