Kodo

Role Summary
<ul>
<li>Build predictive machine learning models for treasury, cash flow forecasting, and investment recommendations.</li>
<li>Analyze large-scale financial and macroeconomic datasets to generate actionable business insights.</li>
<li>Develop AI-driven analytics solutions for financial products and wealth management.</li>
<li>Collaborate with Product, Engineering, and Business teams to deliver scalable data-driven solutions.</li>
</ul>
Key Responsibilities
<ul>
<li>Design and deploy predictive ML models for treasury and cash flow forecasting.</li>
<li>Build time-series forecasting models using statistical and machine learning techniques.</li>
<li>Perform exploratory data analysis (EDA), feature engineering, and hypothesis testing.</li>
<li>Develop data pipelines to ingest, clean, and analyze financial and macroeconomic data.</li>
<li>Build investment recommendation models, financial risk scoring, and anomaly detection systems.</li>
<li>Evaluate, optimize, and monitor model performance using appropriate validation techniques.</li>
<li>Create dashboards and visualizations to communicate insights to stakeholders.</li>
<li>Continuously improve models based on changing market conditions and new data.</li>
</ul>
Requirements
<ul>
<li>Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or a related quantitative field.</li>
<li>3–6 years of experience in Data Science, Machine Learning, Advanced Analytics, or Quantitative Modeling.</li>
<li>Strong programming skills in Python.</li>
<li>Experience with time-series forecasting techniques (ARIMA, Prophet, LSTM, Transformer models).</li>
<li>Strong knowledge of statistics, probability, regression, classification, clustering, and optimization.</li>
<li>Experience working with financial, transactional, or time-series datasets.</li>
<li>Familiarity with Git and collaborative development workflows.</li>
<li>Excellent analytical, problem-solving, and communication skills.</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience in financial markets, treasury, banking, investment research, or fintech.</li>
<li>Knowledge of macroeconomics, financial modeling, and quantitative finance.</li>
<li>CFA (completed) is an added advantage.</li>
</ul>