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          ZUCite Technologies LLP

          No. 1430, 22nd cross, I and III block east,
          Jayanagar, Bangalore, India – 560 011.
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          Data Scientist

          • Citi
          • Mumbai
          • 24 days ago
          • N/A
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          Data Scientist

          • Citi
          • Mumbai
          • 24 days ago
          • N/A
          • full-time

          Job Description

          About the Company: Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

          About the Role: Institutional Credit Management’s (“ICM”) objective is to provide an integrated “end-to-end” credit underwriting, identification, measurement, management, monitoring and reporting for wholesale credit businesses across the enterprise. In-Business Quality Assurance is an integral part of the ICM organization. The ICM In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. ICM Management uses the results of the quality assurance reviews to assess the quality of the group's policies, procedures, programs, and practices as relates to the management of wholesale credit risk. The results help management identify operational weaknesses, risks associated with the function, training needs, and process deficiencies.

          Key Responsibilities: Support the In-Business Quality Assurance Head of Data Analytics to set the global strategy for and lead the implementation and ongoing delivery of a robust Data analytics and testing program for the Quality Assurance function as it relates to Wholesale Credit Risk (WCR) data governance. Provide effective challenge on the design and operation of the data and credit processes within ICM and report any identified gaps and concerns on those through quarterly reports published to ICM senior management. Ability to query and clean complex datasets from multiple sources, to funnel into advanced statistical analysis. Hands-on experience in designing, planning, prototyping, productionizing, deploying, maintaining, and documenting reliable and scalable data science solution. Perform Design, Operational effectiveness assessments of various business processes within Wholesale Credit Risk Participate and Independently Lead Quality Assurance Reviews (QAR) covering Data relevant aspects. Read Policies, Standards and Procedures to understand key pillars, responsibilities, associated risks and expected controls for the business process(es) in scope. Lead data discovery to identify data lineage, controls, etc. for the defined business process in scope. Good grasp of Wholesale Credit Risk Processes and organizational awareness, to evaluate findings identified through the Quality Assurance process, determine materiality, and partnering with business to drive sustainable remediation. Deep and hands-on in deriving concrete insight from data and qualifying business impact. Collaborate within IBQA teams and with QA Directors and provide them with analytics insights. Monitors exceptions to dispute policy and identifies drivers of exceptions. Leverages data to examine effectiveness of the business processes. Has the ability to operate with a limited level of direct supervision Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Support WCR IBQA team to abreast of relevant changes to rules/regulations and other industry news including regulatory findings.

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          Job Overview

          • Required Qualificaion:
            Bachelors/University degree, in Finance, Business or other Risk, and Quantitative areas.
          • Expiration date:
            in 6 days

          Job Skills

          • Python
          • Data Science
          • Data Analytics
          • SQL
          • MS Excel
          • Tableau
          • Risk Management
          • Leadership Skills
          Disclaimer

          This Job listings is sourced from official career pages of the company. Please verify all details on the respective company's website before applying.

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