Note: The job is a remote job and is open to candidates in USA. OVA.Work is seeking a Quantitative AI Analyst to leverage advanced analytics and AI to solve complex business problems. The role involves developing predictive models and analytical solutions across various domains, while collaborating with stakeholders to optimize business processes.

Responsibilities

• Analyze large, structured, and unstructured datasets to identify trends, patterns, and business opportunities
• Develop statistical, predictive, and machine learning models to support business decisions
• Build AI-driven forecasting, optimization, risk assessment, and recommendation models
• Design and evaluate experiments to validate model performance and business impact
• Develop dashboards, reports, and data visualizations to communicate analytical findings
• Collaborate with business stakeholders to translate requirements into analytical solutions
• Apply generative AI and large language models (LLMs) where appropriate to enhance analytics workflows
• Perform feature engineering, data preparation, model validation, and performance monitoring
• Support AI governance by documenting methodologies, assumptions, and model performance
• Continuously improve models through testing, retraining, and performance optimization
• Stay current with emerging AI, analytics, and quantitative modeling techniques

Skills

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Artificial Intelligence, Economics, Finance, Operations Research, Engineering, or a related field
• 2–6+ years of experience in quantitative analysis, data science, business analytics, AI, or machine learning
• Strong knowledge of statistics, probability, predictive modeling, and optimization techniques
• Proficiency in Python and SQL for data analysis and model development
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
• Experience with data visualization tools such as Power BI, Tableau, or Matplotlib
• Strong analytical, problem-solving, and communication skills
• Experience with generative AI, LLMs, or AI-assisted analytics
• Familiarity with cloud-based analytics and AI platforms
• Experience in financial modeling, risk analytics, demand forecasting, or operational optimization
• Knowledge of MLOps, model monitoring, and deployment practices
• Relevant certifications in data analytics, AI, cloud technologies, or business intelligence
• Prompt Engineering (preferred)
• AWS, Microsoft Azure, or Google Cloud (preferred)

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