AVP - Large Holding Data Analyst - BFS

Large Holding Data Analyst-AVP

Large Holdings

Global Large Shareholding regulations require Barclays to monitor and disclose the Firm's aggregate holdings in equity and equity related securities of publicly listed companies to regulators, exchanges and issuers. Market disclosures are preconditions to a liquid and efficient market, lowering the cost of capital and delivering benefits for investors. Global laws are complex and carry significant levels of risk that can lead to market destabilisation. Market failures lead to regulatory censure and reputational damage.

Large Holdings is the functional area within Markets Operations and is responsible for ensuring the Firm meets its large shareholding monitoring, advisory and reporting obligations.

The role holder will work within the Large Holdings Data Operations team to create and maintain an environment and capability that enables regulatory reporting, control and oversight across the Barclays Group in collaboration with Business Units and Head Office functions.

The role holder will manage critical and complex data management requirements in collaboration with Barclays International, Barclays UK and Central Support Functions.

Role Purpose

The Large Holdings Data Operations team, reporting to the Global Head of Large Holdings has responsibility for ensuring the group is managing data with discipline, control and in accordance with regulation and Group Data Management Standards. The Data Operations Team will have overall responsibility for:

- Proactively managing Group Holdings and Transaction data to and maintaining a robust data governance framework.

- Delivering a structured approach to the analysis, resolution, reporting and measurement of data defects and leading data quality enhancements.

- Conceptualising, designing and implementing strategic solutions to enable Large Holdings to demonstrate adherence to data regulations and prioritised internal data projects.

Key Accountabilities :

Reporting to Large Holdings Head of Data Operations and working within newly established Large Holdings Operations team in Pune and working closely with the Technology change team, the role holder's responsibilities include group wide coverage of all equity based holding position and transaction data to deliver a structured approach to the analysis, resolution, reporting and measurement of data defects and to champion data quality enhancements. The ideal candidate will have a strong understanding of databases and data analysis procedures. The role holder will also possess excellent troubleshooting skills have excellent eye for detail, identify trends and patterns in information and have excellent computer skills.

- Enforce policy standards for effective data management

- Develop and execute database queries and conduct analysis to interpret data, analyze results using statistical techniques interpret trends or patterns in complex data sets

- Troubleshoot data-related problems and recommend maintenance or modifications

- Create visualizations and reports for requested projects

- Maintain and enhance conformance framework

- Conduct conformance testing Use cases and troubleshooting

- Ensure product and service meets the established standards of quality including reliability, usability and performance.

- Draft quality assurance policies and procedures

- Interpret and implement quality assurance standards

- Review the implementation and efficiency of quality and inspection systems

- Plan, conduct and monitor testing and inspection of materials and products to ensure finished product quality

- Document data quality assurance activities

- Develop, recommend and monitor corrective and preventive actions

- Prepare reports to communicate outcomes of quality activities

- Evaluate audit findings and implement appropriate corrective actions

- Assure ongoing compliance with quality and industry regulatory requirements

- Take an active role in leading the local Large Holdings Data Operations team

- Reviewing existing policies and planning how to improve quality management systems (QMS)

- Measuring performance and making sure policies and procedures meet quality standards

Person Specification :

The ideal candidate must have excellent business judgement and a willingness to exercise it. The candidate must have a professional demeanour and possess considerable presence, impact and gravitas that will command respect within the organisation and with regulators.

The ideal candidate must be able to work constructively across Barclays, incorporating the needs of diverse stakeholders. The individual must have a pragmatic approach to problem-solving, a flexible, consultative working style and possesses the ability to drive change where required. The candidate must be used to working to tight deadlines, be results and performance focused be confident to be able to communicate with purpose and clarity both in written and verbal formats.

Skills/Qualifications

- Working understanding of database management systems (MSSQL, Oracle, Hadoop), online analytical processing (OLAP) and ETL (Extract, transform, load)

- Knowledge of enterprise reporting packages (such as Tableau, IBM Cognos, Business Objects etc),

- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)

- Knowledge of writing and reading SQL queries with tools such as MSSQL Studio, Oracle Toad, Oracle SQL Developer.

- Proficient in MS Office (Excel, Access, Word etc.)

- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

- Analytical mind with a problem-solving aptitude

- Excellent communication and presentation skills

- Abilities to take initiative and be innovative

- Relevant years of experience working specifically in an equity trading environment