Fintal Partners
Data Analytics Software Engineer (Trading)
Fintal Partners, Chicago, Illinois, United States, 60290
Data Analytics Software Engineer (Trading)
This range is provided by Fintal Partners. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range
$300,000.00/yr - $500,000.00/yr Job Summary
We are seeking a
Data Analytics Software Engineer
to design, build, and maintain data systems that drive real-time decision-making and quantitative research in a high-frequency trading environment. Youll work closely with traders, quantitative researchers, and software engineers to transform massive, high-velocity data streams into actionable insights and robust analytical infrastructure. Key Responsibilities Develop and optimize data pipelines for ingesting, cleaning, and transforming large volumes of real-time and historical trading data. Design and maintain scalable data storage and retrieval systems to support quantitative research and live trading. Build analytical frameworks and dashboards to monitor trading performance, latency, and execution quality. Collaborate with quants and developers to implement data-driven models and backtesting environments. Ensure data integrity, reliability, and low?latency access across systems. Continuously improve tooling for performance monitoring, anomaly detection, and reporting.
Required Skills & Experience
Strong knowledge of Python language fundamentals; ability to write both OO and functional style code. Hands?on experience with the JupyterHub/JupyterLab environment as an advanced user; previous experience supporting it across multiple users preferred. Experience with major Python analysis libraries such as pandas, polars, numpy, scipy, scikit?learn, especially for optimizing performance on large data analytics. Experience with distributed analysis or query engines like Spark, Trino, Dremio, and Dask. Experience working with data lake technologies such as Databricks, Snowflake, Iceberg, and Parquet. Experience using LLM tools for productivity, including analysis and code generation.
Preferred Qualifications
Previous experience in HFT, prop trading, or quantitative finance. Familiarity with Linux systems and containerization tools (Docker/Kubernetes). Exposure to machine learning techniques for market data analysis.
Seniority Level
Mid?Senior level Employment Type
Full?time Job Function
Capital Markets Benefits
Medical insurance Vision insurance 401(k)
Referrals increase your chances of interviewing at Fintal Partners by 2x. #J-18808-Ljbffr
This range is provided by Fintal Partners. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range
$300,000.00/yr - $500,000.00/yr Job Summary
We are seeking a
Data Analytics Software Engineer
to design, build, and maintain data systems that drive real-time decision-making and quantitative research in a high-frequency trading environment. Youll work closely with traders, quantitative researchers, and software engineers to transform massive, high-velocity data streams into actionable insights and robust analytical infrastructure. Key Responsibilities Develop and optimize data pipelines for ingesting, cleaning, and transforming large volumes of real-time and historical trading data. Design and maintain scalable data storage and retrieval systems to support quantitative research and live trading. Build analytical frameworks and dashboards to monitor trading performance, latency, and execution quality. Collaborate with quants and developers to implement data-driven models and backtesting environments. Ensure data integrity, reliability, and low?latency access across systems. Continuously improve tooling for performance monitoring, anomaly detection, and reporting.
Required Skills & Experience
Strong knowledge of Python language fundamentals; ability to write both OO and functional style code. Hands?on experience with the JupyterHub/JupyterLab environment as an advanced user; previous experience supporting it across multiple users preferred. Experience with major Python analysis libraries such as pandas, polars, numpy, scipy, scikit?learn, especially for optimizing performance on large data analytics. Experience with distributed analysis or query engines like Spark, Trino, Dremio, and Dask. Experience working with data lake technologies such as Databricks, Snowflake, Iceberg, and Parquet. Experience using LLM tools for productivity, including analysis and code generation.
Preferred Qualifications
Previous experience in HFT, prop trading, or quantitative finance. Familiarity with Linux systems and containerization tools (Docker/Kubernetes). Exposure to machine learning techniques for market data analysis.
Seniority Level
Mid?Senior level Employment Type
Full?time Job Function
Capital Markets Benefits
Medical insurance Vision insurance 401(k)
Referrals increase your chances of interviewing at Fintal Partners by 2x. #J-18808-Ljbffr