Aneesha Ahuja

• Collaborated with the Business to gather the requirements for process automation
• Analysis and documentation of the current and the to-be process
• Engagement with the scrum team for implementation of business requirements
• Lead the migration of workflows used to generate scorecards, daily and weekly financial reports from Alteryx to DataIKU

• Tracked project milestones to completion across FMI principles
• Identification of mapping dependencies for FMIs in liaison with process owners to support a resolution/divestment scenario
• Supported ad hoc data requests as per regulatory ask using SAS/SQL
• Executed the Data Quality framework for OCIR
• Data analysis to identify Core Business Lines for financial resilience

• Liaised with the business to capture the product requirements

• Conducted walkthrough on the user stories and UX design for implementation in PEGA

• Managed the product backlog using JIRA & performed UAT/UVT

• Performed ad hoc analysis and data validation using SAS & SQL

• Supervised the financial reporting process for Sales Performance Management ensuring accurate and timely delivery

• Developed automated processes using SAS to enable data driven decision making for strategic initiatives

• Involved in the data management activities to deliver monthly performance financials comprising of Revenue and AUM

• Liaised with stakeholders from business and technology to design BRD’s for the implementation of the retail data to EDM comprising of data for collections, credit initiation, wealth & other portfolios to EDM

• Involved in analyzing SAS scripts to derive the underlying attributes and developing a roadmap to the source

• Conduct gap analysis to identify variance between system capabilities and business requirements using SAS and SQL

• Conducted walkthrough to demonstrate the insights

• Performed UAT, UVT and Financial Recon to validate results

• Implemented PD, LGD and EAD models as per the IFRS9 regulations for the quantification of credit risk across different portfolios in the retail segment for the bank using SAS
• Contributed in performing the financial impact assessment analysis; tracking the changes in the ECL numbers and driving insights leading to the change
• Performed analysis on customer/portfolio data to support various ad hoc requests to drive key business decisions using SAS/SQL
• Presented insights to senior stakeholders

• Revenue reporting for RM’s/ Treasury Specialist generated through product trading across franchise (DBS, POSB, and Treasures Private Client)
• Contributed in collating data from different sources, processing and manipulating data to generate daily, weekly & monthly reports
• Performed the root cause analysis of the missing trades via SAS
• Implemented dashboards in Tableau to report RM sales by franchise

• Contributed to the automation of reports using SAS representing default rates for the mortgage portfolio; based on the PD values with accounts segmented across different acquisition bands for Ulster Bank, Ireland for IFRS9

• Campaign evaluation for 9 international markets to report KPIs like sales, uplift, penetration, trial/repeat rate, redemptions, participation & Sales to cost ratio using SAS
• Executed customer mailing campaigns based on customer behavior & historical spend to allocate coupons to relevant customers in order to retain loyal customers, bring back the lapsed customers
• Executed loyalty campaign mailings to reward customers that buy your brand or category based on the relevancy score calculated from brand share, recency, frequency, average spend per visit to help build loyalty, participation and help drive sales in the stores

• Involved in comprehensive reporting of various metrics related to the cards portfolio using SAS to monitor and evaluate the account delinquencies