Quant Data Engineer at Quest Partners LLC

About the Role

Quest Partners is seeking a Quant Data Engineer for our Research Technology team. This is a computationally intensive role that will allow you to utilize your data engineering, analysis and technology skills. You will enhance, refine, and evolve the research platform which includes the data platform, the foundational technology infrastructure, and the core backtesting engine.

Duties and Responsibilities:

• Onboard data by working with different sources/stores of data (OneTick, CQG, ICE, Bloomberg, Refinitiv, etc.).
• Setup robust, performant, and resilient data workflows from ingesting data to creating enriched datasets for research.
• Engineer ETL frameworks with cutting-edge technologies such as Snowflake, Airflow, Apache Spark, Python etc. to enhance the foundational technology infrastructure of the firm.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Enhance the research platform by creating/deploying CICD methodologies to deploy the full stack from data to trading strategies.
• Work on improving the backtesting engine by adding research specific features and reducing latency etc.

Experience:

• Bachelors, Masters or PhD in Computer Science, Engineering, Mathematics, Statistics; or equivalent experience
• 1+ years of experience working with large amounts of financial data (ideally FX or Futures)
• Passion for the financial markets
• Knowledge of Algorithms and Data Structures.
• Advanced working SQL knowledge and experience working with relational databases.
• Proficient in SQL, Python and any OOPL (e.g. C#)
• Knowledge about industry best practices in CI/CD and leveraging AWS cloud technologies to build solutions.
• Knowledge building and optimizing 'big data' data pipelines, architectures and data sets.
• Strong analytical skills related to working with unstructured datasets.
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• Should be organized, detail-oriented, and comfortable managing multiple work streams.

The base range for this role is expected to be between $150,000 and $250,000. This does not include other aspects of compensation such as discretionary bonus and a competitive comprehensive benefits package. Actual compensation offered to a candidate will vary within the range above depending on factors such as qualifications, education, and skill level.