Senior Data Analyst-2

Description

• Conduct security master maintenance across multiple asset types — equities, fixed income, derivatives, structured products, and funds.
• Participate in UAT testing, change management, and production deployment validation for system enhancements or platform migrations.
• Maintain comprehensive process documentation and ensure adherence to internal data governance and control frameworks.
• Assists other areas of the business to model the potential outcomes of implementing various business strategies.
• Helps develop data mining models, statistical reporting and data analysis methodologies to identify key customer segments and to simulate impact of potential future business decisions.
• Recognizes areas of opportunity and risk through data analysis and modelling and reports findings.
• Perform end-to-end setup, enrichment, and maintenance of securities and reference data in Eagle and related data management platforms.
• Validate and reconcile data between Bloomberg, CRD, GoldenSource, Eagle, and internal systems to ensure accuracy and completeness.
• Execute and monitor daily data feeds, ensuring timely updates and resolving exceptions or breaks.
• Collaborate with Front Office, Portfolio Management, Compliance, and Operations teams to resolve data discrepancies and support trade enablement.
• Works to develop detailed reports and conclusions for business, finance and investment management based on data summaries.
• Handle ad-hoc data requests, issue analysis, and reporting as required by business users or management.
• Support data quality initiatives, including automation, process improvements, and data standardization efforts.
• Identifies trends found from modelling and informs other lines of business such as product development and marketing decisions.
• Provides information for additional research and analysis in line with statistical methodology.
• Assists with mathematical, statistical, and economic methods that determine market conditions, project consumer needs and inform business initiatives.

Requirements

• Investment Banking / Asset Management Industry experience in an offshored operations environment.
• Ability to work relatively independently and in a team-oriented, collaborative environment
• Exposure to GoldenSource or similar Master Data Management (MDM) tools is highly desirable.
• Excellent verbal and written communication skills for stakeholder interactions (mainly US-based teams).
• Adaptable to changing priorities and technology enhancements.
• Understanding of trade lifecycle and reference data’s role in
• Familiarity with data feeds (e.g., Bloomberg BPIPE, Refinitiv, Markit) and static data integration workflows.
• Strong working knowledge of Eagle (PACE, STAR, Data Management) and data management processes.
• Collaborative and able to work in a fast-paced, global environment.
• Strong ownership and accountability mindset.
• Experience working with security data across asset classes including equities, fixed income and derivatives
• Prioritization and problem solving skills
• Basic knowledge of writing SQL queries.
• Strong analytical, problem-solving, and data reconciliation skills.
• Willingness to work in US time zone (evening/night IST).Ability to analyze process/data exceptions and proven attention to detail.Experience using Microsoft Office suite of products (particularly Excel and VBA) and SQL.
• Experience working with middle office or front office support environments.
• Very good communication skills, written and verbal
• Proficient with Bloomberg (BBG Terminal, BBG AIM, BBG PORT) and Charles River (CRD) applications for data sourcing and validation.
• Prior exposure to automation or process improvement initiatives (Alteryx, Python, VBA, etc.).
• University (Degree) Preferred
• 2+ Years Required; 3+ Years Preferred
• Knowledge of market data sources, products and tools
• SQL or data query/reporting knowledge.
• Solid understanding of financial instruments, including Equities, Fixed Income, Derivatives, and Structured Products.
• Experience working with entity data across investment vehicles including pooled products, institutional separately managed portfolios or retail separately managed portfolios

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance