Quant Developers

3 days ago

New York NY United States Amtex Enterprises Inc Full time

Job Title: Quant Developers (Data Scientist / Quant / Python / Apache / Spark / AWS)
Duration: 6+ Months
Location: Hybrid/Midtown New York City or Austin, TX 3 days a week.
Rate: $55-65/hr on W2 or $65-75/hr on C2C

We are seeking two mid to senior Quant Developers with extensive experience in Python, Apache, and Spark for Quant development in a Capital Markets Enterprise. Candidates will be responsible for building quantitative models, exploring and working with new datasets, assessing data quality, and extracting valuable insights—preferably from financial or time-series datasets. This role also involves data visualization, containerization, and CI/CD practices.

Note: THIS IS NOT JUST A PYTHON DEVELOPER POSITION; CANDIDATES MUST HAVE CAPITAL MARKETS/QUANT EXPERIENCE.
Candidates should have long project tenures and excellent communication skills.

Candidate Must Have’s on a resume and for submittal:

  1. Years of experience in Quant development
  2. Years of experience with Python/Apache/Spark
  3. Years of experience with CI/CD
  4. Years of experience with AWS

Job Description:

• Candidates can be junior or mid-level as long as they possess the required hard skills.
• No prior knowledge of financial products is required.
• Candidates should be self-starters, able to work independently with minimal guidance, while having strong technical skills.

Soft Skills:

  • Curiosity and analytical mindset
  • Ability to learn new concepts and domains quickly
  • Versatility to work in a partial greenfield environment
  • Comfortable working with a geographically distributed team
  • Able to work independently on various data engineering and analytical tasks

Hard Skills:

  • Very strong Python with good code hygiene
  • Experience developing and testing data processes (e.g., ETL, scraping, transformation)
  • Experience exploring and working with new datasets, assessing data quality, and extracting valuable insights—preferably with financial or time-series datasets
  • Familiarity with orchestration tools (e.g., Apache Airflow)
  • Good understanding of AWS cloud solutions
  • Experience with distributed compute frameworks to handle large data volumes (e.g., Spark)
  • Experience building visuals for expert and non-expert audiences—preferably using Plotly/Dash
  • Good source control practices and experience with CI/CD
  • Comfortable building and deploying containerized solutions

Nice to Have:

  • Experience developing and deploying machine learning models
  • Experience working in financial markets
  • Knowledge of best practices for back-testing models

Day to Day Duties:

  • Implement data onboarding (ETL, web scraping, etc.) and database management
  • Implement best practices for data transformation, manipulation, and storage solutions
  • Build and maintain fundamental market models for supply and demand
  • Build and maintain fundamental and price-based analytics (e.g., visualizations and dashboards)

Interested candidates should email their resume to & .

#J-18808-Ljbffr

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