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Kodo

Posted 7 Jul 2026

Treasury Analyst

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Employment
Full time
Posted
7 Jul 2026

About the role

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.

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