About the Role
We are looking for a highly analytical and business-oriented Analyst to join our team. This role sits at the intersection of finance, economics, treasury, and data science. You will be responsible for building predictive models that drive treasury decisions, cash flow forecasting, macroeconomic analysis, and investment recommendations.
This is an prospect to work on financial products where data-driven insights directly influence business outcomes. The ideal candidate is passionate about quantitative modeling and equally motivated by solving real-world financial problems.
Key Responsibilities
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Develop predictive models for company cash flow forecasting and treasury operations.
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Analyze macroeconomic trends and assess their impact on treasury, investments, and financial performance.
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Perform exploratory data analysis to identify patterns, correlations, and financial risk indicators.
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Build and validate statistical and machine learning models using financial and economic datasets.
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Integrate data from sources such as RBI and other public financial databases to generate actionable insights.
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Collaborate with product, engineering, and business teams to translate analytical findings into product features.
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Support the development of investment recommendation models for retail financial products, including mutual funds.
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Continuously improve forecasting accuracy through model monitoring, back-testing, and optimization.
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Present analytical findings and recommendations to stakeholders in a clear and business-friendly manner.
Required Qualifications
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Master's degree in Economics, Econometrics, Statistics, Mathematics, Financial Engineering, Data Science, or a related quantitative field.
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Strong foundation in statistics, probability, mathematical modeling, and predictive analytics.
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Proficiency in Python and SQL for data analysis and model development.
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Experience working with large datasets and building forecasting or predictiv
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