Sindhu Neelakantan

Risk/Data Analytics and Axiom COE lead - catering to tier 1 banks globally - leading the implementation effort for Credit Risk reports and FM reports as well as solutioning the functional specifications for new regulations like ESG. Responsible for Project management and leading the Analysis/implementation and Data lineage process of various regulatory reports. End to end project management.

• Leading the end to end Data delivery engagements for Credit risk reporting - Monitoring and reporting on data governance metrics and key performance indicators related to credit risk management. Worked with Group CDO to define ‘Strategic Maturity' for data delivery. Established 3-year transformation roadmap and Setup 5 Squads comprising 50 team members for end to end data delivery (Cr Risk reporting Data Requirements, Data Governance, Data Quality, mapping, lineage, metadata).
• Built and led the Axiom Regulatory Reporting Center of Excellence - with a large team catering to implementation of Cr Risk and Liquidity Reports in Tier 1 banks in US, EU, UK and Asia.
• Automated data lineage to read metadata and transformations of data out of Financial market systems used for transaction reporting - ex: Broadway, Murex, business works, Orbit etc.
• Led the automation effort to automate multiple new flows from multiple databases, applications, systems, excel/text files and added very complex business logic to flow data like derivatives, loans, deposits, securities into the reports.
• Provide end to end support on RFI/RFP responses and client/prospect presentations.
• Providing cross business applications support for evaluation, Design architecture discussions, solutions technical design and implementation of Axiom tool.
• Lead program governance – Leadership reviews, Audit Reports, project proposals, project schedules, project cost estimations, Delivery Status, Design Authority Forums, RAID logs, SteerCo, Working Groups and daily team scrums

• Led the Regtech project with a USA based Fintech company to design and implement a Regtech product which would liaise between the Regulatory agencies and Private equity firms, fixed income and asset management firms. Involved in process of Prototype solutions, proof-of-concepts, user acceptance tests. Preparation of presentations to showcase results/findings.
• Worked with chief compliance officers of 15 private equity, asset management firms to focus on challenges they are facing on compliance reporting
• Managing the execution of the project - Collecting, analyzing and synthesizing qualitative and quantitative financial technology innovation information and contributing to the development of Fintech knowledge of the market. Data Research and survey analysis of Fintech Startups and hub comparison of Fintechs globally.

Team leader, managing full time employees and responsible for leading Projects with functional and IT teams. Responsible for end to end process of retrieving Risk data from the businesses spread across the world to delivering analysis of the retrieved data to senior management. This involves:

• Support CRO office and business stakeholders to understand the risk profiles across the portfolio, proactively identifying emerging risks
• Project lead for data quality enhancements, who was the main contact between functional team, business teams and IT team
• Responsible for the delivery of analytical reports - Understanding monthly report variances and provide insights and recommendations to optimise the capital allocation.
• Reporting: Portfolio analysis and reporting of GE Capital portfolio to Senior Risk Leadership using reports: Asset Quality metrics, PD and LGD analysis, Rating migration analysis, Top customer reporting. Detailed summary in terms of Quarter on Quarter exposure variances across portfolios by product, geography, Industry and collateral
• Proactively identify projects for risk management initiatives and work with the business teams to carry out ongoing risk assessments

Onsite Engagement : Managed various data quality improvement projects to increase risk data accuracy

• Designed and implemented various logics for rating consolidation, industry assignment, negative watch, default spreading, etc., for better portfolio analysis and risk assessment
• Created benchmarking reports to compare Bank's portfolio with the competitors
• System migration – This project involved migration of new and accurate system to store risk data and automate reports
• Report automation – Working with the IT team to automate regulatory reports to ensure minimal manual intervention leading to accuracy

As a Risk analyst, work with the IT team at GE Capital for integrating the existing risk database with the new version to report development and accuracy

Creating/Reporting remittance and delinquency information , Analysis of various data generated to ensure that underlying concepts and reporting conventions were met.