
Company Overview:
QuantumNeuron Technologies is a leading-edge firm at the intersection of advanced analytics and financial markets. We empower institutional clients and internal trading desks with sophisticated data-driven insights and technological solutions to navigate the complexities of global capital markets. Our platforms leverage cutting-edge data science to optimize trading strategies, enhance risk management, and drive informed decision-making across various asset classes.
Role Overview:
We are looking for an experienced Senior Data Analyst with strong expertise in SQL, data analysis, and financial markets domain. The role involves analyzing complex capital markets datasets, performing data validation, reconciliation, root cause analysis, and supporting business and technology teams with data-driven solutions.
Key Responsibilities:
- Analyze large volumes of capital markets data across trading, operations, risk, and reporting platforms.
- Develop complex SQL queries for data extraction, transformation, validation, and analysis.
- Perform data profiling, data quality checks, reconciliation, and issue investigation.
- Analyze trade lifecycle data including trade capture, settlement, positions, and transaction flows.
- Work with business and technology teams to understand requirements and translate them into data solutions.
- Perform source-to-target data mapping, impact analysis, and support data migration activities.
- Identify data discrepancies, perform root cause analysis, and drive resolution.
- Create analytical reports, dashboards, and management insights.
- Support testing, implementation, and production activities.
Required Skills & Experience:
- 6 - 10 years of experience as a Data Analyst in Capital Markets / Financial Services.
- Strong hands-on expertise in SQL (complex joins, subqueries, CTEs, window functions, query optimization).
- Strong experience with relational databases such as Oracle, PostgreSQL, or SQL Server.
Good understanding of capital markets concepts:
1. Trade lifecycle
2. Equities, Fixed Income, Derivatives
3. Settlements and reconciliations
4. Positions and holdings
- Experience working with large datasets, data investigation, and data quality frameworks.
- Experience with ETL concepts, data flows, and transformation logic.
- Ability to work independently with business stakeholders and technology teams.
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