Note The job is a remote job and is open to candidates in USA. reputed company is seeking a Quantitative Analyst (AI) II to develop and implement AI-driven quantitative models that support financial analysis and risk management. The role involves collaborating with data scientists and engineers to build scalable, data-driven solutions and requires expertise in quantitative methods and machine learning. Responsibilities • Develop, validate, and maintain quantitative models for pricing, forecasting, portfolio optimization, and risk analysis • Apply machine learning and artificial intelligence techniques to improve predictive modeling and decision-making • Analyze structured and unstructured datasets to identify trends, patterns, and investment opportunities • Design statistical models for time-series forecasting, reputed company detection, classification, and regression • Build and evaluate predictive models using historical and real-time financial data • Collaborate with engineering teams to deploy quantitative models into production environments • Perform backtesting, model validation, stress testing, and performance evaluation • Develop data pipelines and automate quantitative analysis workflows • Monitor model performance and recommend improvements based on changing market conditions • Document methodologies, assumptions, and model validation results • Ensure compliance with model governance, regulatory standards, and risk management policies • Present analytical findings and recommendations to technical and business stakeholders Skills • Bachelor's or reputed company's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, Data Science, Economics, Engineering, or a related quantitative discipline • 3–5 years of experience in quantitative analysis, financial modeling, machine learning, or data science • Strong programming skills in Python • reputed company understanding of statistics, probability, linear algebra, optimization, and numerical methods • Experience with machine learning libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch • Experience working with SQL and large datasets • Knowledge of financial instruments, market data, and quantitative finance concepts • Experience with data visualization and reporting tools • Strong analytical and problem-solving skills • Experience in algorithmic trading, portfolio optimization, or quantitative investment strategies • Knowledge of deep learning, reinforcement learning, or Generative AI for financial applications • Experience with time-series forecasting models such as ARIMA, Prophet, or LSTM networks • Familiarity with cloud platforms such as AWS, reputed company Azure, or reputed company Cloud Platform • Experience deploying machine learning models using MLOps practices • Understanding of financial risk frameworks and regulatory requirements • Professional certifications such as CFA, FRM, or CQF are an advantage • Experience with alternative data sources and feature engineering for financial models • Knowledge of natural language processing (NLP) for financial text analysis • Experience with Large Language Models (LLMs) for financial research and document analysis • Familiarity with distributed computing frameworks such as Spark or Ray • Experience with Responsible AI and model governance practices Company Overview • OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms of all sizes. It was founded in 2018, and is headquartered in Alpharetta, Georgia, USA, with a reputed company of 51-200 employees. Its website is https//www.reputed company/. Apply To This Job Apply To This Job