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Data Scientist - Systematic Trading

Job in Jacksonville, Duval County, Florida, 32290, USA
Listing for: Selby Jennings
Full Time position
Listed on 2026-02-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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This range is provided by Selby Jennings. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr - $/yr

Additional compensation types

Annual Bonus and Sign-on bonus

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Fin Tech Headhunter | Prop Trading and Hedge Funds

Role Overview

Join our data science team to drive innovation and insights through advanced analytics, experimentation, and strategic communication. You'll help shape data-driven decisions in a dynamic environment.

Key Responsibilities

  • Data Insight Development: Investigate complex datasets to extract trends and key relationships, utilizing visual tools to communicate findings effectively.
  • Model Construction & Optimization: Design and deploy machine learning algorithms to forecast business metrics and enhance operational efficiency.
  • Experimental Design: Construct and manage experiments to validate predictive models and inform business strategies.
  • Insight Communication: Translate analytical results into actionable recommendations for cross-functional stakeholders.

Minimum Qualifications

  • Professional Experience: At least 3 years working in high-velocity sectors like finance or similar industries.
  • Coding Expertise: Proficient in Python and R; experienced with core libraries such as Pandas, scikit-learn, and Tensor Flow.
  • Visualization Skills: Adept at building data dashboards and visual narratives using platforms like Tableau.
  • Statistical Fluency: Deep knowledge of statistical techniques and their real-world applications.
  • Database Mastery: Skilled in writing and optimizing complex SQL queries for data extraction and transformation.

Preferred Qualifications

  • Cloud Familiarity: Exposure to environments like Google Cloud Platform (GCP).
  • Big Data Acumen: Experience with distributed computing tools such as Apache Spark and Kafka.
  • Pipeline Design: Understanding of data ingestion frameworks and ETL best practices.
Seniority level
  • Seniority level

    Not Applicable
Employment type
  • Employment type

    Full-time
Job function
  • Job function

    Engineering, Finance, and Information Technology
  • Industries Capital Markets and Financial Services

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