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 artificial intelligence for solving complex business problems. The role involves developing predictive models and analytical solutions to support data-driven decision-making across various domains including finance, healthcare, and technology.
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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