Investment Analytics

Job description

**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. - 3–6 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