Bissma Ahmed

• Developing the data and reporting for the People function in line with the organisations objectives to be more data led.
• Have complete ownership for collation of data and preparation for the Companies compliance reporting GPGR, CEO ratio, FEC submission, whilst working within given guidelines and policies.
• Identifying anomalies and errors in complex data sets to ensure the data is accurate and reliable.
• Carrying out regular spots check and cleansing of data across People systems.
• Have created and maintained a data compliance tool to ensure the data within the systems is correct and all anomalies investigated.
• Liaise with stakeholders across People function and the wider business to identify key reports required.
• Working on key projects such as ‘Be Heard’ to complete any preparation data.
• Managing ongoing performance and development of People systems.
• Responsible for all People data queries and ownership of the People KPIs.
• Producing all monthly, bi-monthly, annual and tri-annual reports across the People function.
• Developing the existing data and reporting whilst engaging with relevant stakeholders to identify future improvements.
• Produce reports within the People systems working alongside payroll manager and Head of People function on bonus and annual pay reviews.
• Currently lead the Card factory BI team of 12 to share good working practices, data, Power Bi and analytics skills across the business.

Developing the data and reporting for the People function in line with the organisations objectives to be more data led.
Have complete ownership for collation of data and preparation for the Companies compliance reporting GPGR, CEO ratio, FEC submission, whilst working within given guidelines and policies.
Identifying anomalies and errors in complex data sets to ensure the data is accurate and reliable.
Carrying out regular spots check and cleansing of data across People systems.
Have created and maintained a data compliance tool to ensure the data within the systems is correct and all anomalies investigated.
Liaise with stakeholders across People function and the wider business to identify key reports required.
Working on key projects such as ‘Be Heard’ to complete any preparation data.
Managing ongoing performance and development of People systems.
Responsible for all People data queries and ownership of the People KPIs.
Producing all monthly, bi-monthly, annual and tri-annual reports across the People function.
Developing the existing data and reporting whilst engaging with relevant stakeholders to identify future improvements.
Produce reports within the People systems working alongside payroll manager and Head of People function on bonus and annual pay reviews.
Currently lead the Card factory BI team of 12 to share good working practices, data, Power Bi and analytics skills across the business.

Building and reporting of Portfolio and credit metrics and all analysis and key trends arising from the reporting.
Responsible for the integrity, storage, retention and accuracy of the reporting, analysis and all associated data.
Defining requirements for the implementation of MI and for data infrastructure to support Credit Portfolio Management.
Producing and developing MI to support business decisions by identifying key trends and movement in data.
Responsible for assisting the Manager in the analysis and reporting of credit risk and operational credit systems data.
Utilised best practice statistical, analytical and modelling techniques to perform analysis of the portfolios, to enable strategic decision making.
Developed a detailed understanding of the databases, to process, manipulate and interpret that data to support the accountabilities.
Developed an ability to communicate results of analysis to management to a high standard, both written and verbal.
Responsible for supporting the Data Governance and Data Quality project and maintaining systems and documentation.
Carry out relevant testing to ensure data is correct and consistent and ensuring the data is available in an appropriate form in a timely manner. Taking responsibility for the integrity, storage, retention and accuracy of the data.
Identifying data requirements and designing KPI measures, data sets, marts and flows within Credit Systems and Analysis.
Experience of working with complex data sets.
Requirements gathering and understanding of KPI measures.
Making sure process flows and procedural documentation exists for all reports which are complete and up to date.
Daily use of SQL server management studio, IBM data studio, Power bi, Power query and excel.

Report on key trends and high risk indicators of the mortgage lifecycle.
Perform analysis and run code to produce timely and accurate Retail Credit Risk MI, for review by the Society’s Senior Leadership Team.
Support delivering and embedding credit risk solutions and models.
Create and report the monthly credit risk monitoring pack to understand portfolio movement and provide recommendations to optimise risk appetite and credit risk solutions.
Regular monthly, weekly reporting to provide valuable insight on portfolio performance.
Provide analytical support in the oversight of all “first line of defence” credit risk activities by producing High Risk Scripts (HRS) and monthly quality reporting of the Credit Risk Oversight Team’s findings during risk assessments of the following areas; Underwriting, Current accounts and Collections and Recoveries.
Complete all regular and ad-hoc MI and reporting/scripts on time and without error to establish key areas of concern taking into account key risk indicators.
Production and on-going development of all regular Dashboards within given time scales.
Development of new HRS to ensure monthly reporting is in line with policy.
As requested, produce the Credit Monitoring partners with data extracts to carry out their testing for Focused Review, always going the extra mile to ensure the data is user-friendly and easy to read.
Working under 4 separate disciplines I have increased my basic knowledge of the mortgage and current account life cycle across the different brands.
As part of the Oversight plan did the initial investigation for large losses within the society to understand if the controls in place are robust enough.
Daily use of SAS (including core copies)/SQL/Excel and Webforms Live.

Analyse large data sets using SAS, to produce monthly reports for stakeholders and senior management to evaluate the portfolios success and areas of concern within the UK Wealth Private Banking sector.
Collation of Management Information and providing commentary and basic trend analysis.
Development and maintenance of the data store to ensure accurate and up to date data e.g. arrears monitoring, severity monitoring and provisions reports sent to the relevant areas.
Continuously evaluate procedures and implement enhancements to improve overall efficiency.
To prepare and distribute the Credit Risk report for the monthly meetings.