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Only local Noida Candidates Need HANDS ON EXP IN BELOW: Python SQL Spark Should have handled very large chunk of data IB exp current/past is required- if from consulting firms-should have worked on IB projects - Experience in Data Management/ Data Governance/ Data Quality Controls, Governance, Reporting and Risk Management preferably in a financial services organisation - Experience in Data Analytics and Insights (using latest tools and techniques e.g. Python, Tableau, Tableau Prep, Power Apps, Aletryx ), analytics on structured and unstructured data - Experience on data bases and data science/ analytics tools and techniques like SQL, AI and ML (on live projects and not just academic projects) Accountabilities: - Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification. - Execution of data cleansing and transformation tasks to prepare data for analysis. - Designing and building data pipelines to automate data movement and processing using ETL tools like Python - Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems. (will involve advanced understanding and experience in Python, SQL and other data handling skills) - Documentation of data quality findings and recommendations for improvement. - Set up mechanism for proactive monitoring of data quality To be successful in this role, you should have: - Experience in Data Management, Data Governance including records management. Ability to review business processes from data lens and identify critical upstream and downstream components especially in financial services organisation - understanding of models, EUDAs etc. - Strong understanding of Data Governance, Data Quality & Controls, Data Lineage and Reference Data/Metadata Management including relevant policies and frameworks. - A clear understanding of the elements of an effective control environment, enterprise risk management framework, operational risk or other principal risk frameworks - Experience of managing stakeholders directly & indirectly and across geographies & cultures. - Strong understanding and practical exposure to application of BCBS 239 principles and related frameworks - Commercially astute, demonstrates a consultative, yet pragmatic approach with integrity to solving issues, focusing on areas of significance and value to the business. - A strong understanding of Risk and Control environment/control frameworks/op risk, including understanding of second and third line functions and impact across people, process and technology. - Analytical techniques and tools to extract meaningful insights from complex data sets and drive data- Strategic Leadership: Provide strategic direction and leadership for data analysis initiatives, ensuring alignment with organizational and program goals. Functional understanding of financial crime and fraud data domains would be preferred. - Data Governance: Oversee data governance policies and procedures to ensure data integrity, security, and compliance with regulatory requirements. - Stakeholder Collaboration: Collaborate with cross-functional teams to identify data needs and deliver actionable insights. - Advanced Analytics: Utilize advanced driven decision-making - Deliver best in class insights to enable stakeholders to make informed business decisions and support data quality issue remediation. - Perform robust reivew and QA of key deliverables being sent out by the team to stakeholders - Demonstrate a collaborative communication style, promoting trust and respect with a range of stakeholders including Operational Risk/Chief Controls Office/ Chief Data Office/ Financial Crime Operations subject matter experts (SMEs), Chief Data Office, Risk Information Services, Technology Some other desired skills include: - Graduate in any discipline - Effective communication and presentation skills. - Experience in Data Management/ Data Governance/ Data Quality Controls, Governance, Reporting and Risk Management preferably in a financial services organisation - Experience in Data Analytics and Insights (using latest tools and techniques e.g. Python -mandatory and Tableau, Tableau Prep, Power Apps, Aletryx good to have), analytics on structured and unstructured data - Experience on data bases and data science/ analytics tools and techniques like SQL, AI and ML (on live projects and not just academic projects) - Proficient in MS Office - PPT, Excel, Word & Visio - Comprehensive understanding of Risk, Governance and Control Frameworks and Processes

Noida

Assistant Vice President - Data Analyst - Python/SQL 

Job Description for Assistant Vice President - Data Analyst - Python/SQL  in Black Turtle India Pvt Ltd in  Noida for (5-8) years of experience. Apply Now!

Assistant Vice President - Data Analyst - Python/SQL  | iimjobs.com