Senior MAQR (ML & Quantitative Research) Data Scientist
TWG Global AI
- United States
- United States
About
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 driveenterprise 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.
The Role 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.
Key Responsibilities
Model Development & Implementation
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
Strategic Collaboration
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
Innovation & Excellence
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
Qualifications
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
Preferred qualifications
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
Position Location This position is located in Santa Monica, CA.
Compensation The base pay will for this position is $160,000-$190,000. A bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits.
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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Languages
- English
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