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Senior Data Developer (New York)
Senior Data Developer (New York)Centiva Capital • New York, NY, United States
Senior Data Developer (New York)

Senior Data Developer (New York)

Centiva Capital • New York, NY, United States
[job_card.1_day_ago]
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  • [job_card.full_time]
[job_card.job_description]

Please send resumes to Tech-Recruiting@centivacapital.com.

Key Responsibilities

  • Develop and maintain scalable Python-based ETL pipelines for ingesting and transforming market data from multiple sources.
  • Build and manage cloud data lake solutions (AWS / Databricks) for storing and retrieving large volumes of structured and unstructured data.
  • Implement rigorous data quality, validation, and cleansing routines to ensure the accuracy of financial time-series data.
  • Optimize data workflows for low latency and high throughput, critical for quantitative research, trading strategies, and risk management.
  • Collaborate with portfolio managers, quantitative researchers, and traders to tailor data solutions that support modeling, strategy development, and trading insights.
  • Contribute to the firms security master database design and implementation.
  • Analyze and extract insights from datasets to inform trading and risk management decisions.
  • Document system architecture, data flow processes, and technical solutions to ensure transparency and reproducibility.

Requirements

  • Bachelors (or higher) degree in Computer Science, Engineering, Mathematics, Statistics, or a quantitative discipline.
  • At least 5 years of relevant experience in developing python-based financial software.
  • Demonstrated expertise in Python, including data manipulation experience with Pandas.
  • Some exposure to financial datasets across various asset classes.
  • Experience collaborating with quantitative analysts to support the quantitative research and modeling process.
  • Proficiency in working within a Linux environment.
  • Strong foundation in mathematics and statistics.
  • Ability to thrive in a fast-paced, detail-oriented environment under pressure.
  • Excellent problem-solving skills along with strong verbal and written communication abilities.
  • NYC or London based with some in-office presence required.

    • Preferred

  • Experience with Kafka or other streaming technologies.
  • Understanding of financial market data, symbology, and reference data across equities, futures, credit, indices, and OTC asset classes.
  • Prior work in a hedgefund, proptrading, or other quantitativefinance environment.
  • Experience with cloud platforms such as Azure / AWS.
  • Exposure to LLM / AI solution architecture and integrating AI / ML models into data pipelines.
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