Market Data Quality Analyst

IMC; Sydney; On-site; AUD 130,000 - 210,000; Full time

Job summary

IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. We seek a Market Data Quality Analyst to own reference, corporate actions and alternative data, turning it into research-ready datasets through ingestion, validation, mapping, and publication.

You will design automated Python pipelines, analyse large datasets with SQL, Pandas and Polars, and work with researchers, traders and engineers to ensure high data quality and actionable

Qualifications

• 5+ years in a data-focused role, preferably in trading, quantitative finance, or financial services.
• Strong Python including data processing frameworks such as Pandas or Polars.
• Advanced SQL for analysing large datasets efficiently.
• Genuine interest in how exchanges work – instrument lifecycles, session structures, holiday calendars and symbology.
• Eagerness to get into the details of a dataset to find quality issues or document data edge cases.
• Strong communication skills and the ability to work cross-functionally with researchers, traders and engineers to build data requirements.

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.

Skills

Python

SQL

Pandas

Polars

Data quality

Communication

Cross-functional

CI/CD

Kubernetes

Visualization

Tools

Streamlit

Plotly

Spark

Dask

CI/CD

Kubernetes

Job description

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 global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.