VP, Data Science / Machine Learning Lead - Capital Markets & Fixed Income

Overview

Join to apply for the VP, Data Science / Machine Learning Lead - Capital Markets & Fixed Income role at TWG Global .

This range is provided by TWG Global. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Compensation

Base pay range : $240,000.00 / yr - $285,000.00 / yr

The base pay for this position is $240,000-285,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and / or other benefits.

Location

This position is based out of our Santa Monica, CA office. Consideration for a different working location will be considered on a case-by-case basis.

About TWG Global

TWG Group Holdings, LLC ("TWG Global") drives innovation and business transformation across financial services (capital markets and fixed income), 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 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, with strategic partnerships with leading data and AI vendors to fuel efforts in marketing, operations, and product development. Our solutions power trading desks, portfolio optimization, and risk analytics across fixed income, derivatives, and structured products.

We aim to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions by collaborating with management and leveraging relationships with tech startups and universities to create competitive advantages and enterprise innovation.

TWG Global’s goal is sustained growth and superior returns, delivering rare value and impact across our businesses.

Role and Responsibilities

As the Staff Machine Learning Engineer (VP) on the AI Science team, you will be responsible for architecting and deploying cutting-edge ML systems that power core business functions across the enterprise. Reporting to the Executive Director of AI Science, you will drive the development of scalable ML infrastructure, production‑grade models, and reusable frameworks that deliver measurable business outcomes—ranging from cost optimization to top-line growth. You will bridge quantitative research and technology with a deep understanding of fixed income markets and derivatives.

You will act as a technical thought leader and strategic partner in shaping the direction of the organization’s machine learning investments, fostering a culture of rigorous experimentation, reproducibility, and responsible AI.

What you'll do

• Design and deploy ML systems that solve high-impact business problems for critical workflows
• Develop and implement advanced ML methods including time series forecasting, reinforcement learning, optimization algorithms, and probabilistic modeling
• Lead the adoption of emerging ML techniques and tools (e.g., generative AI, LLM fine-tuning, vector databases, RAG) through rapid prototyping
• Partner with AI researchers and data scientists to translate experimental models into production-ready systems, supporting scaling and generalizability across business domains
• Own the development of foundational models and platform capabilities that serve as building blocks for downstream AI applications across the organization
• Ensure ML models are designed with safety, fairness, and transparency in mind, and aligned with internal governance frameworks and external regulatory standards
• Collaborate with cross-functional leaders in engineering, product, and business teams to embed ML-driven decision-making into core processes and workflows
• Continuously evaluate emerging ML techniques and tools, and champion their adoption through rigorous prototyping, benchmarking, and knowledge sharing
• Define and manage metrics to evaluate model performance and business impact, ensuring ML projects meet both scientific and operational standards
• Design ML-driven pricing models for fixed income securities, derivatives, and structured products
• Mentor other ML engineers and data scientists, fostering technical excellence and a culture of innovation and collaboration

Qualifications and Experience

Preferred Experience

Benefits

Seniority level

Employment type

Job function

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EEO : TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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