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

What you'll do

• Lead AI/ML projects and develop models for instrument valuation, market forecasting, credit risk, and interest-rate analysis.
• Set technical standards for experimentation, reproducibility, model governance, and responsible AI in a regulated capital markets environment.
• Partner with business and risk leaders, influence senior stakeholders, and mentor data scientists.

What they ask for

• 10 or more years of data science or machine learning experience, including delivery of enterprise-impact projects and direct work in fixed income, capital markets, or quantitative finance.
• Expertise in advanced machine learning, causal inference, deep learning, statistical modeling, and time series analysis; working knowledge of fixed income fundamentals.
• Demonstrated success leading end-to-end projects and influencing senior stakeholders in a trading, banking, or risk function.
• Hands-on technical depth in Python (or R), cloud-based platforms, and modern ML frameworks; experience mentoring or leading small teams.

Nice to have

• Experience with Palantir platforms (Foundry, AIP, Ontology) and model risk management or validation standards such as SR 11-7.
• Experience with KDB+/q or similar time series stores, vector databases, knowledge graphs, LLM application frameworks, or relevant cloud/AI certifications.

Pay

$299,000-390,000 USD base salary

Tools

Python, R, Palantir, Foundry, AIP, Ontology, KDB+/q, AWS

AI focus

Leads applied AI/ML for fixed income and investment banking, including generative AI, causal inference, LLM-based analytics, RAG, simulation, pricing, risk, and market forecasting.