Senior MAQR (ML & Quantitative Research) Data Scientist
About The Position
At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries—including financial services, 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 both 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, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. Join our growing Machine Learning, AI, and Quantitative Research (MAQR) group as a Data Scientist, where you'll be at the heart of our data and analytics transformation. In this role, you'll collaborate closely with cross-functional teams to deliver cutting-edge AI/ML solutions that drive significant business impact, including cost optimization and revenue growth. You'll work in an innovative environment with a startup mindset, building technology solutions that create competitive advantages across our diverse portfolio.
Requirements
- Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related field) plus 6+ years of experience in data analytics, OR
- PhD in a quantitative field plus 3+ years of experience in data science
- At least 6+ years of experience with Python or similar programming languages for large-scale data analysis
- At least 4+ years of experience with machine learning model development and deployment
- Experience with statistical analysis, data science, and model validation techniques
- Proficiency in interpreting model performance metrics and statistical outputs
- Strong analytical and problem-solving skills with ability to work with complex, multi-faceted challenges
- Excellent communication and interpersonal skills to translate technical complexity into business value
- Ability to thrive in bringing definition to big, undefined problems
- Customer-first mindset with passion for delivering impactful solutions
Nice To Haves
- Experience with cloud technologies (AWS, Azure, GCP) and cloud-native architectures
- Knowledge of quantitative finance, econometrics, or portfolio optimization
- Experience with forecasting and causal inference using modern machine learning methods
- Experience with microservices architecture and high-performance computing systems
- Experience working with large-scale datasets (billions of records) and real-time data processing
- Demonstrated ability to write production-level software
- Experience with Agile development methodologies and cross-functional team collaboration
Responsibilities
- Build machine learning models through all phases of development, from problem formulation and design through training, validation, and implementation in a production environment
- Develop advanced AI solutions including predictive modeling, time series forecasting, optimization, and causal methods
- Leverage a broad stack of technologies to analyze large volumes of numeric and textual data
- Research, develop, and implement advanced machine learning and AI techniques for financial applications
- Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver solutions that align with business objectives
- Collaborate with business leaders and technical experts to ensure AI/ML initiatives are integrated effectively across business units
- Translate complex technical concepts into actionable business strategies and tangible outcomes
- Drive the development of descriptive, predictive, and prescriptive modeling use cases across diverse business challenges across the financial sector including asset management and banking
- Stay current on state-of-the-art methods and emerging technologies, ensuring our organization remains at the forefront of AI/ML innovation
- Contribute to AI governance initiatives and champion ethical, responsible use of AI across the organization
Benefits
- A bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
