CRISIL is a leading, agile and innovative global analytics company driven by its mission of making markets function better. It has delivered independent opinions, actionable insights, and efficient solutions to over 100,000 customers through businesses that operate from India, the US, the UK, Argentina, Colombia, Poland, China, Hong Kong and Singapore. It is majority owned by S&P Global Inc, a leading provider of transparent and independent ratings, benchmarks, analytics and data to the capital and commodity markets worldwide. Key Responsibilities Manage the research production and analytics layer for the cross-asset strategy platform Develop and maintain economic and cross-asset models Create a standardized chart and data library and standardized publication and deck templates Manage the assembly of publications - decks and exhibits Implement Python-based automation across data, modelling and production to make research production scalable and repeatable across different business lines Build repeatable and scalable dashboards (on MS-Excel/Power BI/Tableau) and scorecards across rates, credit, FX, commodities and economies Required Education and Experience Bachelor’s or master’s in economics / finance / Statistics or a related quantitative discipline 5-8 years of relevant experience in macro / cross-asset research, economic or investment research, or analytics-focused roles Hands‑on exposure to data analytics work across rates, credit, FX, commodities and macroeconomies, including model support, dashboards and publication / deck preparation for senior stakeholders Strong understanding of macroeconomics, financial markets and cross-asset strategy, with experience handling multi‑asset and macro datasets Exposure to Python on data, modelling, automation, and Power BI/Tableau (preferred) Good communication skills – verbal and written in English #J-18808-Ljbffr