TWG Global ยท 3 weeks ago
VP, Data Science / Machine Learning Lead - Capital Markets & Fixed Income
New York, NY
Full-time
Hybrid
Senior Level, Lead/Staff
$240K/yr - $285K/yr
8+ years expTWG Global is an innovative company driving transformation across various industries, particularly in financial services. They are seeking a VP, Data Science / Machine Learning Lead to architect and deploy machine learning systems that enhance business functions and decision-making across the enterprise.
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
8+ years of experience building and deploying machine learning systems in production environments, preferably in investment banking, fixed income trading, or hedge funds, ideally within enterprise or platform-scale settings
Proven track record of leading ML projects from ideation to production, including cross-functional collaboration and technical ownership
Deep expertise in supervised, unsupervised, reinforcement learning or statistical modeling
Proficiency in Python, along with modern ML and data stack tools (e.g., TensorFlow, PyTorch, scikit-learn, JAX, Ray, MLflow)
Hands-on experience with MLOps principles and frameworks (e.g., CI/CD pipelines for ML, model monitoring, reproducibility)
Strong understanding of cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI, or similar)
Exceptional communication and collaboration skills, with the ability to translate technical details into strategic decisions
Strong foundation in fixed income analytics, derivatives pricing, and risk management
Commitment to responsible AI, including model fairness, transparency, and compliance with regulatory standards
Master's or PhD in Computer Science, Machine Learning, Statistics, or a closely related discipline preferred
Preferred
Hands-on experience with Palantir platforms (e.g., Foundry, AIP, Ontology) - including developing, deploying, and integrating machine learning solutions within Palantir's data and AI ecosystem
CFA or FRM certification
Benefits
A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits.
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.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase