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 opportunity 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
Develop predictive models for company cash flow forecasting and treasury operations.
Analyze macroeconomic trends and assess their impact on treasury, investments, and financial performance.
Perform exploratory data analysis to identify patterns, correlations, and financial risk indicators.
Build and validate statistical and machine learning models using financial and economic datasets.
Integrate data from sources such as RBI and other public financial databases to generate actionable insights.
Collaborate with product, engineering, and business teams to translate analytical findings into product features.
Support the development of investment recommendation models for retail financial products, including mutual funds.
Continuously improve forecasting accuracy through model monitoring, back-testing, and optimization.
Present analytical findings and recommendations to stakeholders in a clear and business-friendly manner.
Required Qualifications
Master's degree in Economics, Econometrics, Statistics, Mathematics, Financial Engineering, Data Science, or a related quantitative field.
Strong foundation in statistics, probability, mathematical modeling, and predictive analytics.
Proficiency in Python and SQL for data analysis and model development.
Experience working with large datasets and building forecasting or predictive models.
Strong understanding of financial markets, macroeconomics, and investment concepts.
Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
Experience in treasury, banking, investment banking, asset management, or financial services.
Knowledge of treasury operations, liquidity management, cash flow forecasting, forex hedging, and derivatives.
CFA (completed or pursuing) is a strong advantage.
Experience working with macroeconomic indicators and financial time-series data.
Familiarity with machine learning techniques and financial modeling frameworks.
Ideal Candidate
Has a strong quantitative background with solid financial intuition.
Enjoys solving complex business problems using data.
Thinks like an investment analyst and focuses on delivering measurable business impact.
Is comfortable working with ambiguity and building models from first principles.
Can bridge the gap between technical modeling and business decision-making.
What You'll Work On
Cash flow and treasury forecasting models.
Macroeconomic prediction engines.
Financial risk and correlation analysis.
Investment recommendation systems.
Retail wealth management products, starting with a Mutual Fund Launchpad and expanding into advanced investment solutions.
Nice to Have.
Experience in bank treasury, investment banking, quantitative research, or financial analytics.
Exposure to Bloomberg, Reuters, RBI datasets, or similar financial data sources.
