Junior Quantitative Trader

Dime Line TradingDime Line TradingChicago, Illinois, United States
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Posted

8/21/2026

Employment

Full time

Range

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Work style

On-site

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AI summary

Core responsibilities

The role involves conducting quantitative research, building predictive models, and supporting the development and maintenance of automated trading systems. You will collaborate with traders and developers to monitor model performance and ensure smooth production operations during active sports schedules.

Requirements overview

Candidates should have 0-2 years of experience in a quantitative or analytical role with proficiency in R, Python, or SQL. Strong analytical skills and familiarity with statistical modeling techniques are required, along with the availability to work evenings and weekends.

Key skills

Quantitative researchModel developmentTrading strategy executionRPythonSQLRegressionStatistical modelingAutomated trading systemsData analysisProblem-solvingSports analyticsMarket dataQuantitative finance

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About Dime Line Trading

Industry

Financial Services

Employees

42

Type

Privately Held

Size

11-50 employees

DL Trading develops algorithms to trade all major US sports. DL Trading was founded in 2020 by two veterans of the algorithmic trading industry. Both started their careers in the sports gambling space before entering the financial industry, where they individually built successful trading teams at leading firms.

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Job categories

Finance & AccountingData & AnalyticsTechnologySports & RecreationScience & Research

Description

We are seeking a Junior Quantitative Trader to join our Chicago office. This role focuses on quantitative research, model development, and supporting trading strategy execution in a live sports-driven environment. This position is ideal for an early-career quantitative candidate who is excited to work directly with traders and developers while gaining hands-on exposure to live trading systems. Responsibilities Assist in building and maintaining predictive models and trading strategies Conduct quantitative research using statistical techniques Support development and maintenance of automated trading systems Monitor model performance and assist with testing, validation, and deployment Collaborate with traders and developers to improve systems and workflows Support operational and production tasks tied to live trading Work evenings and weekends during active sports schedules Required Skills 0–2 years of experience in a quantitative or analytical role Proficiency in R, Python, and/or SQL Familiarity with regression and foundational statistical modeling techniques Strong analytical and problem-solving skills Willingness to contribute to operational and production support Availability to work evenings and weekends aligned with sports schedules Nice to Have Experience in sports analytics Strong knowledge of major sports Interest in trading, betting markets, or quantitative finance Experience working with market data (financial, crypto, or sports)

Requirements

  • Quantitative research
  • Model development
  • Trading strategy execution
  • R
  • Python
  • SQL
  • Regression
  • Statistical modeling
  • Automated trading systems
  • Data analysis
  • Problem-solving
  • Sports analytics
  • Market data
  • Quantitative finance

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