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.
• 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