Role at a glance
- Salary
- Not Disclosed
- Location
- Sydney, Australia
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years in a data-focused role, preferably in a trading, quantitative finance, or financial services environment.
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Role Summary
The Market Data Quality Analyst prepares reference, corporate actions, and alternative data for research and trading use. The role focuses on building and maintaining data pipelines, investigating data quality, and working with data users and engineers.
What You'll Do
- Acquire, clean, and maintain reference, corporate actions, and alternative data from exchanges, vendors, and proprietary feeds.
- Design and own Python pipelines for data ingestion, transformation, and publication.
- Analyze datasets using SQL, Pandas, and Polars, and document data.
- Monitor and resolve anomalies, missing values, and inconsistencies, and develop automated tests to flag issues.
- Work with engineers to improve data storage, retrieval, and efficiency for research workflows.
- Work with researchers, traders, and other data users to define and maintain datasets.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
5+ years in a data-focused role, preferably in trading, quantitative finance, or financial services. Strong Python skills, including Pandas or Polars, and advanced SQL skills. Requires an interest in exchange operations and attention to dataset quality and edge cases, along with strong communication and cross-functional collaboration skills.
Preferred
- Visualization tools such as Streamlit or Plotly
- Distributed processing with Spark or Dask
- CI/CD
- Kubernetes
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
This role is ideal for someone passionate about financial data, quantitative research, and market analysis. As a Market Data Quality Analyst, you’ll own a variety of reference data, corporate actions data and alternative data from sources such as exchanges and data vendors. You’ll then work to turn these into research and trading-ready datasets via ingestion, validation, mapping, enrichment and publication.
Your Core Responsibilities:
- Acquire, clean, and maintain reference data, corporate actions data and alternative data from various sources (exchanges, third-party vendors, proprietary feeds).
- Design and own automated Python pipelines for ingestion, transformation and publication of these sources.
- Analyse datasets using SQL, Pandas and Polars to help model, investigate issues, and document data.
- Monitor and resolve data anomalies, missing values, and inconsistencies to ensure high data quality and develop automated testing strategies to flag such issues.
- Work with engineers to enhance data storage, retrieval, and efficiency for research workflows.
- Work with researchers, traders and other data users to turn data needs into well-defined, maintained datasets.
Your Skills and Experience:
- 5+ years in a data-focused role, preferably in a trading, quantitative finance, or financial services environment.
- Strong Python including data processing frameworks such as Pandas or Polars.
- Advanced SQL for analysing large datasets efficiently.
- Genuine interest in how exchanges work – including instrument lifecycles, session structures, holiday calendars and symbology.
- Eagerness to get into the details of a dataset, either to find quality issues or to help document data edge cases.
- Strong communication skills and the ability to work cross-functionally with researchers, traders and engineers to build up data requirements.
- Nice to have: visualisation tools (Streamlit, Plotly), distributed processing (Spark, Dask), CI/CD, Kubernetes.
About Us
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.
About the company
IMC Trading
Large Enterprise
IMC Trading is a global proprietary trading firm that leverages technology and quantitative research to optimize trading strategies across a variety of asset classes, including equities, commodities, and derivatives. Founded in 1989 and headquartered in Amsterdam, IMC operates with a commitment to innovation and collaboration, fostering an environment where talented professionals can thrive. The firm is dedicated to responsible trading practices and actively engages in market-making to ensure liquidity and efficiency in financial markets worldwide. With a focus on continuous improvement and data-driven decision-making, IMC Trading is a leader in the fast-paced world of trading and investment.