Ruchi Tiwari

Project - ESG Risk Analytics Enhancement for Investment Clients

S&P Global provides Environmental, Social, and Governance (ESG) ratings that help investors assess company sustainability and risk.

BUSINESS ANALYSIS

• Elicit & Translate Business requirement to User Stories\BRD\FRD\SRS
• Conduct Gap Analysis\Scope Analysis\Impact Analysis on Business Process using techniques like use case diagrams (UML) \Context Diagram (Data Flow Modelling) \ BPMN (process modelling) \Flow charts.
• Conduct AS-IS and TO-BE Analysis and suggest Fit for Business Solutions by designing a Change Strategy.
• Organize & Lead Requirement Gathering (Elicitation) meetings using techniques like Interviews, Questionnaires, Interface.
• Analysis, Document Analysis, Brainstorming Sessions and Focus Group Discussions.
• Prioritize Requirements using MOSCOW and Business Value methods.
• Deliver Requirement documents like BRD\FRD\SRS\Use Case\Process Flow\Change Requests\SRS\ Traceability Matrix\MindMaps.
• Communicate client’s business requirements by constructing easy to understand data and process models.
• Involved in creating wire-frames and mock ups for the system.
• Verification\Validation of requirements to ensure they deliver business value by conducting various Reviews and workshops with clients.
• Performed quality assurance (functional testing) and user acceptance testing facilitating on-time, on-budget and acclaimed “go-live” of the application.
• Act center point of contact for all project activities liaising with Delivery Managers.
• Worked with cross functional team during development, Integration Testing, Functional Testing, and UAT to deliver end-to-end solution.
• Helped the team to understand the requirements during planning sessions for better estimation of user stories the team would commit to for the sprint.
• Delivered other requirement documents like Use Case\Process Flow\Change Requests\SRS\ Requirement Traceability Matrix.

• Project - Developed a real-time reporting dashboard that reduced manual reporting efforts by 40% and improved executive decision-making speed through enhanced data visibility.
• Built a real-time executive dashboard that enhanced data transparency, enabling leadership to make faster, informed business decisions and reducing reliance on manual reports.
• Analysis of filing documents such as Quarterly Reports, Annual Reports, and Ongoing Disclosure Obligations, also called Electronic Data Gathering, Analysis, and Retrieval (EDGAR), filed by all public and private companies in the SEC and other global stock exchanges for the People Data Set.
• Involved in UAT testing after Technology Release and Patch work on Tools and fixing bugs.
• Utilized knowledge of data modelling and statistical analysis to note trend and drew conclusions. Preparing Investigative
• reports on equity Securities.
• prepare comprehensive financial and business analysis of target companies to identify the extent of the market opportunity and strategic fit.
• Analyze major factors (Corporate Action) like Merger and Acquisition, discontinued operation, distribution of dividend and restatement of financial information etc.
• Prepare statistical model to interpret and analyze data, determine the meaning of the data, result and provide ongoing report/presentation.
• Contribution towards process improvement and automation projects.
• Give Training to new joiners on different processes to improve performance Mentoring and Giving Suggestion to new Users
• while processing their jobs. Contribution towards process improvement and automation projects.

• Daily monitoring of Corporate action and ensuring that these proceed effectively and efficiently. Generating and publishing daily, weekly, monthly report and delivering them to the end clients.
• Dealing with U.S/ Non-U. S portfolios and providing data through research on historical and present financial statement.
• Preparing investigative reports on equity securities.
• As part of a financial modeling course, I built a model on Indigo Airlines from scratch.
• The work involved understanding business model, identifying the revenue cost drivers, populating historical data.
• Forecast the financial statement using the available information and valued the company using the discounted cash flow (DCF) method. Also used the EV/EBITDA multiple for relative valuation.