Rishita Jain
About Rishita Jain
Rishita Jain is a Financial Data Analyst L2 at Clearwater Analytics, specializing in tri-party reconciliation and middle office operations within the investment banking sector. She holds a B.Com in Advertisement & Sales Promotion and is currently pursuing an MBA in Finance.
Work at Clearwater Analytics
Rishita Jain currently holds the position of Financial Data Analyst L2 at Clearwater Analytics, where she has been employed since 2023. In this role, she is responsible for supporting tri-party reconciliation and managing middle office and back-office operations for clients in the investment banking sector. Additionally, she oversees the smooth data flow from third-party sources to downstream storage servers, ensuring efficient data ingestion, mapping, and normalization. Prior to her current position, she worked as a Financial Data Analyst focusing on Corporate Actions at Clearwater Analytics since 2022.
Education and Expertise
Rishita Jain studied at St. Johns College Agra, where she earned a Bachelor of Commerce (Vocational) degree with a focus on Advertisement and Sales Promotion from 2016 to 2019. She is currently pursuing a Master of Business Administration (MBA) in Finance and Financial Management Services at Hindustan Institute of Technology & Management from 2019 to 2021. Rishita has expertise in handling and updating cash flow for derivatives instruments, including interest rate swaps (IRS), currency swaps (CYCRS), options, and futures.
Background
Rishita Jain has a background in financial data analysis with a focus on investment banking. She has experience in managing corporate action data, which includes processing both mandatory and voluntary events. Prior to her current roles, she worked briefly at CoursesMojo Academy as an Investment Banking professional in 2020. Her academic and professional experiences have equipped her with a strong foundation in finance and data management.
Technical Skills
Rishita Jain is adept at using various analytical tools essential for her role as a Financial Data Analyst. She utilizes SQL for quantitative data analysis and reference data management, along with project management tools such as Confluence and JIRA. Her technical skills support her ability to monitor data ingestion processes and ensure accurate data flow within financial systems.