TWG Global · 4 months ago
VP, Data Science / Machine Learning Lead - Capital Markets & Fixed Income
TWG Global is a company that drives innovation and business transformation across various industries by leveraging data and AI. The VP, Data Science / Machine Learning Lead will architect and deploy ML systems that enhance productivity and enable data-driven decisions, collaborating with management and cross-functional teams to deliver measurable business outcomes.
Construction
Responsibilities
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
Qualification
Required
Deep understanding of fixed income markets and derivatives
Experience in architecting and deploying ML systems
Proven track record in developing and implementing advanced ML methods including time series forecasting, reinforcement learning, optimization algorithms, and probabilistic modeling
Experience in leading the adoption of emerging ML techniques and tools
Ability to partner with AI researchers and data scientists to translate experimental models into production-ready systems
Experience in developing foundational models and platform capabilities for AI applications
Knowledge of safety, fairness, and transparency in ML model design
Experience collaborating with cross-functional leaders in engineering, product, and business teams
Ability to evaluate emerging ML techniques and tools and champion their adoption
Experience in defining and managing metrics to evaluate model performance and business impact
Experience in designing ML-driven pricing models for fixed income securities, derivatives, and structured products
Experience mentoring other ML engineers and data scientists
Company
TWG Global
TWG Global is a unique holding company, strategically investing in and operating businesses across Investment Management, Securities, AI & Technology, Finance & Corporate Lending, Merchant Banking & Private Investments, and Sports, Media & Entertainment.
Funding
Current Stage
Growth StageCompany data provided by crunchbase