Treasury & Financial Analytics

Role Summary Build predictive machine learning models for treasury, cash flow forecasting, and investment recommendations.Analyze large-scale financial and macroeconomic datasets to generate actionable business insights.Develop AI-driven analytics solutions for financial products and wealth management.Collaborate with Product, Engineering, and Business teams to deliver scalable data-driven solutions. Key Responsibilities Design and deploy predictive ML models for treasury and cash flow forecasting.Build time-series forecasting models using statistical and machine learning techniques.Perform exploratory data analysis (EDA), feature engineering, and hypothesis testing.Develop data pipelines to ingest, clean, and analyze financial and macroeconomic data.Build investment recommendation models, financial risk scoring, and anomaly detection systems.Evaluate, optimize, and monitor model performance using appropriate validation techniques.Create dashboards and visualizations to communicate insights to stakeholders.Continuously improve models based on changing market conditions and new data. Requirements Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or a related quantitative field.36 years of experience in Data Science, Machine Learning, Advanced Analytics, or Quantitative Modeling.Strong programming skills in Python.Experience with time-series forecasting techniques (ARIMA, Prophet, LSTM, Transformer models).Strong knowledge of statistics, probability, regression, classification, clustering, and optimization.Experience working with financial, transactional, or time-series datasets.Familiarity with Git and collaborative development workflows.Excellent analytical, problem-solving, and communication skills. Preferred Qualifications Experience in financial markets, treasury, banking, investment research, or fintech.Knowledge of macroeconomics, financial modeling, and quantitative finance.CFA (completed) is an added advantage. Skills: models,forecasting,treasury,cash flow,investment,wealth,datasets Role Summary Build predictive machine learning models for treasury, cash flow forecasting, and investment recommendations.Analyze large-scale financial and macroeconomic datasets to generate actionable business insights.Develop AI-driven analytics solutions for financial products and wealth management.Collaborate with Product, Engineering, and Business teams to deliver scalable data-driven solutions. Key Responsibilities Design and deploy predictive ML models for treasury and cash flow forecasting.Build time-series forecasting models using statistical and machine learning techniques.Perform exploratory data analysis (EDA), feature engineering, and hypothesis testing.Develop data pipelines to ingest, clean, and analyze financial and macroeconomic data.Build investment recommendation models, financial risk scoring, and anomaly detection systems.Evaluate, optimize, and monitor model performance using appropriate validation techniques.Create dashboards and visualizations to communicate insights to stakeholders.Continuously improve models based on changing market conditions and new data. Requirements Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or a related quantitative field.36 years of experience in Data Science, Machine Learning, Advanced Analytics, or Quantitative Modeling.Strong programming skills in Python.Experience with time-series forecasting techniques (ARIMA, Prophet, LSTM, Transformer models).Strong knowledge of statistics, probability, regression, classification, clustering, and optimization.Experience working with financial, transactional, or time-series datasets.Familiarity with Git and collaborative development workflows.Excellent analytical, problem-solving, and communication skills. Preferred Qualifications Experience in financial markets, treasury, banking, investment research, or fintech.Knowledge of macroeconomics, financial modeling, and quantitative finance.CFA (completed) is an added advantage. Skills: models,forecasting,treasury,cash flow,investment,wealth,datasets