Risk data management

Nomura Overview:Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit Services, India supports the group’s global businesses. With world-class capabilities in trading support, research, information technology, financial control, operations, risk management and legal support, the firm plays a key role in facilitating the group’s global operations.At Nomura, creating an inclusive workplace is a priority. Our approach to inclusion encompasses a variety of initiatives, including sensitization campaigns, implementing conducive policies & programs, providing infrastructure support and engaging in community events. Over time, we have made meaningful progress in these areas, and this commitment has been well-recognized across the industry. We are proud recipients of the prestigious Top 10 Employers award by the India Workplace Equality Index (IWEI), IWEI Gold Employer of Choice awards, India CSR Leadership Award 2024 for Holistic Village Development Program and the YUVA Unstoppable Changemaker Awards.Business Unit OverviewRisk Infrastructure (RI)Risk Infrastructure is responsible for the overall governance and support of the firm’s Financial Risk platform. This includes activities like Input Data Management and Control, Exposure Metric Validation, Data Integrity & consistency, Counterparty Exposure validation and Capital Assurance, Risk Limit Management and Risk Reporting. In addition they assist Risk Managers (RM) in resolving data issues where necessary and take corrective actions. RI also drives data management strategy for Risk and helps develop data architectures that are flexible and scalable to meet new regulatory requirements.The team ensures relationships between range of reference data, Trade attributes, instrument and transaction data are not broken. Whilst input data is validated; reported data is reconciled.Drives data management strategy for Risk and helps develop data architecturesProvide ad-hoc risk views and drill down analysis of less transparent risks and issues ofImportance to senior Risk Management/Trading HeadsThe candidate must have a strong background in visual data delivery; interactive design and SQL with a passion for re imagine/ design. In addition, the candidate will be responsible for planning, designing, coordinating and developing highly interactive dashboards, reports with built-in guided analytics for various lines of businessPosition Specifications:Corporate Title: AssociateFunctional title: Associate - Sr. Associate- AVPExperience: 7-10 yrsQualification: BE/B. Tech/ Masters/ MBA in FinanceIT Skills: SQL, Python, AlteryxThis is a business plus technical role.Roles and responsibilities are defined belowJob Title: Risk Data Management & Control - AssociateKey ResponsibilitiesData Management & QualityDesign and implement data quality frameworks and controls for credit risk dataMonitor data quality metrics and create regular reports on data integrityLead data quality issue resolution and manage escalation processesDevelop and maintain data quality dashboardsPartner with credit risk teams to understand data requirementsSupport credit risk reporting and analysis needsEnsure compliance with regulatory data requirementsMaintain data governance standards for credit risk informationTechnical ImplementationDevelop and optimize SQL queries for data extraction and analysisBuild automated workflows using Alteryx for data processingCreate Python scripts for complex data transformations and joinsImplement ETL processes for credit risk data integrationDesign and maintain target operating modelsMind Set:Domain7 to 10 years experience in data management, preferably in financial servicesStrong understanding of credit risk concepts and metricsExperience with ETL processes and data quality managementKnowledge of data governance principlesStrong problem-solving and analytical skillsStrong communication abilities to work with stakeholdersUnderstanding of credit risk principlesProblem-solving and analytical thinkingProject management capabilitiesAbility to translate business requirements into technical solutionsKnowledge of Basel regulationsUnderstanding of BCBS 239 principlesTechnicalSQL: Complex queries, joins, and data manipulationPython: Data processing, pandas, numpy etcAlteryx: Workflow design and automationETL: Design and implementationData Quality Tools: Profiling, monitoring, and reportingExperience with Agile methodologiesExperience in stakeholder managementPrevious experience in financial services industryKnowledge of regulatory reporting requirementsWe are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees. We prohibit discrimination in the workplace whether on grounds of gender, marital or domestic partnership status, pregnancy, carer’s responsibilities, sexual orientation, gender identity, gender expression, race, color, national or ethnic origins, religious belief, disability or age.*Applying for this role does not amount to a job offer or create an obligation on Nomura to provide a job offer. The expression "Nomura" refers to Nomura Services India Private Limited together with its affiliates.