Data & Credit Bureau Attributes Specialist (AVP) - Consumer Credit Risk at Citi
Mumbai, maharashtra, India -
Full Time


Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Governance, Data Management, Credit Risk, Regulatory Compliance, Data Integration, Data Transformation, SAS, SQL, Python, R, Analytical Thinking, Risk Controls, Process Execution, Automation, Cloud Platforms, Big Data

Industry

Financial Services

Description
Data Governance & Control Framework: Develop and enforce a governance framework that ensures the accuracy, security, and quality of data throughout its lifecycle—from ingestion to reporting. Implement data control mechanisms that proactively monitor for and mitigate risks related to data accuracy, completeness, and consistency in credit risk models and decisioning platforms. Collaborate with senior leadership across Risk, IT, and Compliance to ensure data governance practices align with both internal policies and external regulatory requirements. Ensure that all data driving regulatory reporting is accurate, timely, and adheres to both internal and external compliance standards, including OCC, CFPB, and Fed regulations. Collaborate closely with compliance and regulatory teams to ensure that data integration processes meet the evolving demands of regulatory scrutiny and industry best practices. Provide leadership in designing data-driven processes and systems that streamline reporting, reducing manual interventions while enhancing accuracy and timeliness. Engage with senior stakeholders across Risk, IT, Compliance, and Business units to ensure that data strategies are aligned with organizational goals and business outcomes. Build strong partnerships with technology teams to ensure that data pipelines are seamlessly integrated with credit risk systems, ensuring agility and scalability as business needs evolve. Act as a key liaison to regulators, industry groups, and external auditors, representing the organization in discussions around data governance, controls, and regulatory reporting practices. Lead the end-to-end delivery process for building, testing, and deploying data pipelines, ensuring seamless integration with rules engines and decisioning platforms. Oversee the design and execution of unit tests, ensuring that data transformations and controls are thoroughly validated before deployment. Ensure continuous improvement of data delivery methodologies, promoting automation and operational excellence in the build, test, and deployment of credit risk data solutions. Educational Background: Bachelor's degree in a relevant field (e.g., finance, risk management, information technology). A Master's degree or certifications in credit risk, financial analysis is a plus. Certifications in Data Governance, Data Management, or Risk Technology are highly preferred. Extensive experience in designing and implementing data governance frameworks that align with regulatory standards, including experience with data controls, summarization, and transformation in a credit risk context. Strong expertise in managing data used in decisioning systems, rules engines, and regulatory reporting, ensuring accuracy and consistency throughout the data lifecycle. Demonstrated experience with modern data integration tools, cloud platforms, and emerging AI technologies that drive data transformation, testing, and deployment. A track record of leading innovation efforts that enhance the automation and efficiency of data delivery, ensuring timely and accurate reporting across credit risk platforms. Experience in SAS, SAS/Stat, SQL is a must. Any Certifications are an advantage. Experience working with Digital, Big Data mining tools and technology is an advantage. Experience working in a large, sophisticated credit granting organization with major credit card, financial services, retail or consulting business a plus. Experience working with Python & R is a plus. Analytical Thinking, Constructive Debate, Escalation Management, Industry Knowledge, Policy and Procedure, Policy and Regulation, Process Execution, Product Knowledge, Risk Controls and Monitors, Risk Identification and Assessment. ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------
Responsibilities
Develop and enforce a governance framework for data accuracy and security throughout its lifecycle. Collaborate with senior leadership to ensure data governance practices align with regulatory requirements and organizational goals.
Loading...