Chief Data Scientist / AI Lead - Capital Markets Technology
About The Position
We are seeking a Managing Director, Chief Data Scientist to lead the development and application of advanced AI, Machine Learning, and Large Language Model (LLM) solutions across Capital Markets. This role is designed for a highly accomplished, hands-on technical leader with deep expertise in data science, fixed income markets, and front-office technology. The successful candidate will partner directly with Trading, Risk, and Quantitative teams to identify opportunities, rapidly prototype solutions, and deliver production-ready AI capabilities that drive measurable business impact. This is a senior role requiring both strategic leadership and active hands-on development.
Requirements
- PhD in Mathematics, Statistics, Physics, Computer Science, Engineering, or a related quantitative discipline required.
- 15+ years of experience in Data Science, Machine Learning, Quantitative Analytics, Artificial Intelligence, or related technology disciplines.
- Proven track record designing, building, and deploying production-grade AI/ML solutions that deliver measurable business outcomes.
- Expert-level proficiency in Python and modern AI/ML frameworks and platforms.
- Deep expertise in: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, Natural Language Processing (NLP), Machine Learning and Predictive Analytics, Statistical Modeling and Data Science.
- Experience developing scalable data pipelines, real-time analytics platforms, and cloud-based AI solutions.
- Demonstrated ability to partner with senior business stakeholders and translate complex business challenges into practical, scalable solutions.
- Distinguished technical contributor with a hands-on approach to architecture, coding, model development, and problem solving.
- Strong leadership and mentoring skills with the ability to guide engineers and data scientists through direct technical engagement.
- Excellent communication skills with the ability to explain advanced analytical concepts to both technical and non-technical audiences.
Nice To Haves
- Capital Markets experience, particularly within Fixed Income, Trading, Risk, or Quantitative Research, is helpful. However, professional experience from other data-intensive industries such as retail, technology, healthcare, telecommunications, or e-commerce will also be helpful.
Responsibilities
- Lead the design, development, and deployment of AI/ML, LLM, RAG, NLP, and agentic AI solutions supporting trading, risk management, and client analytics.
- Partner directly with traders, quants, and risk teams to transform business challenges into scalable technology solutions.
- Apply deep knowledge of fixed income markets and the trade lifecycle, including trade capture, P&L, risk, settlement, and regulatory processes.
- Rapidly prototype and productionize data science solutions that deliver tangible front-office business value.
- Develop high-quality Python-based models and services using modern AI frameworks such as LangChain, Vertex AI, and related technologies.
- Design and optimize real-time and batch data pipelines across trading, risk, and market data platforms.
- Drive workflow automation, decision support, and exception management through advanced AI techniques.
- Validate and refine models using trading data, market behavior, and user feedback.
- Serve as a senior technical expert, providing hands-on problem solving for complex data, analytics, and technology challenges.
- Mentor engineers and data scientists through direct coding, architecture guidance, and implementation leadership.
Benefits
- Competitive portfolio of benefits
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What This Job Offers
Job Type
Full-time
Career Level
Executive
Education Level
Ph.D. or professional degree
