| Data Operations" OR "Data Management at Remote, Remote, USA |
| Email: [email protected] |
| From: kishore, calabitek [email protected] Reply to: [email protected] Hiring Now:- Hello, I hope you are doing well. Title: Data Operations/ Data Management Analyst Client: BNY Mellon Location: New Jersey, NJ ( Hybrid) Duration: 12 months CTH Description: Job Summary: We seek a detail-oriented and highly analytical Data Operations Specialist to join our team. The ideal candidate will play a critical role in managing, optimizing, and ensuring the integrity of data workflows for a leading data aggregator in the financial services industry, with a specific focus on broker-dealers. This role requires a deep understanding of economic data, exceptional problem-solving skills, and the ability to work effectively in a fast-paced environment. Key Responsibilities: Data Management: Collect, process, and validate large volumes of financial data from various sources, including broker-dealers, trading platforms, and market data providers. Identify and close gaps in data, including detecting empty fields, missing data, or discrepancies, and taking corrective action to ensure completeness and accuracy. Ensure data accuracy, integrity, and consistency by performing routine quality checks and implementing automated validation processes. Monitor data feeds and troubleshoot any discrepancies or interruptions in data flow. Data Aggregation: Aggregate and normalize data from multiple sources to create comprehensive datasets for analysis, reporting, and client delivery. Maintain and update data aggregation processes as new data sources or client requirements emerge. Data Quality Assurance: Conduct detailed reviews to identify any data inconsistencies or anomalies and develop strategies to address and correct these issues. Collaborate with internal teams to refine data collection and processing methods, ensuring all data fields are accurately populated and aligned with industry standards. Reporting & Analysis: Generate, customize, and distribute regular and ad-hoc reports to internal teams and external clients. Analyze data to identify trends, anomalies, and opportunities for process improvements. Automation & Optimization: Develop and maintain automated data processing pipelines to streamline operations and reduce manual intervention. Collaborate with the engineering and IT teams to enhance data infrastructure and implement new tools or technologies. Compliance & Security: Ensure data handling processes comply with industry regulations, such as FINRA and SEC guidelines, as well as company policies. Implement and maintain data security protocols to protect sensitive financial information. Collaboration & Communication: Work closely with other departments, including product management, client services, and IT, to ensure alignment on data requirements and delivery timelines. Provide support and training to team members on data-related tools and processes. Qualifications: Experience: 3-5 years of experience in data operations, data management, or a related role within financial services, preferably with a focus on broker-dealers. Experience with financial data systems, market data providers, and data aggregation platforms. Technical Skills: Proficiency in SQL, Python, or other data manipulation languages. Experience with ETL processes and data pipeline tools (e.g., Apache Kafka, AWS Glue). Strong understanding of financial instruments, market data, and regulatory reporting requirements. Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. Soft Skills: Excellent problem-solving and analytical skills. Strong attention to detail and commitment to data accuracy. Ability to work independently and manage multiple priorities in a fast-paced environment. Effective communication skills, both written and verbal. Education: Bachelor's degree in Finance, Data Science, Computer Science, or a related field. Advanced degree preferred. Share you resume to [email protected] Keywords: business intelligence active directory information technology New Jersey Data Operations" OR "Data Management [email protected] |
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| Mon Aug 19 19:48:00 UTC 2024 |