Market Data Quality Analyst

At IMC, data is pivotal in shaping trading decisions across a wide range of financial products. Better data means better decision making for both the research and trading teams. We’re on a mission to ensure that we have access to quality data to enhance our ability to rapidly adapt and innovate.

As a Market Data Quality Analyst within the team, you will drive the crucial processing pipelines from raw input data through to the access for researchers, including data ingestion, cleaning, validation, transformation, description and indexing.

This role is ideal for someone passionate about financial data, quantitative research, and market analysis. As a Market Data Quality Analyst, you will work closely with quantitative researchers, traders, and engineers to ensure the integrity, accuracy, and efficiency of data used for developing and optimizing trading strategies.

Your Core Responsibilities:

• Acquire, clean, and maintain market data and alternative data from various sources (exchanges, third-party vendors, proprietary feeds).
• Monitor and resolve data anomalies, missing values, and inconsistencies to ensure high data quality.
• Work with data validation frameworks to ensure low-latency and accurate data streams.
• Write SQL queries and Python scripts to automate data processing and integrity checks.
• Work with engineers to enhance data storage, retrieval, and efficiency for research workflows.
• Develop dashboards and reports to visualize data quality and cover and data usage

Your Skills and experience:

• 5+ years in a data analysis role, preferably in a trading, quantitative finance, or financial services environment.
• Strong Python (NumPy, Pandas, SciPy) for data manipulation and analysis.
• Advanced SQL for querying large datasets efficiently.
• Knowledge of time-series analysis and handling high-frequency data.
• Familiarity with data visualization tools (Matplotlib, Plotly, Tableau).
• Experience working with big data frameworks (Spark, Dask) is a plus.