Quant Developers (Data Scientist / Quant / Python / Apache / Spark / AWS) – Hybrid

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

Two mid to senior Quant Developers with extensive experience working with Python/Apache/Spark doing Quant development in a Capital Markets Enterprise. These candidates will be building quantitative models exploring and working with new datasets, assessing data quality and exploring for valuable insights – preferably with financial or time-series datasets. There is also a Data visualization part as well as containerization and CI/CD

THIS IS NOT JUST A PYTHON DEVELOPER POSITON, CANDIDATES MUST HAVE CAPITAL MARKETS/QUANT EXPERIENCE.
Candidates must have Long Projects/Good Tenure, Excellent communication skills

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

1. How many years working with: Quant development
2. How many years working with: Python/Apache/Spark
3. How many years working with: CI/CD
4. How many years working with: AWS

Job Description:

• In terms of experience junior or mid (as long as they have the hard skills)
• No prior knowledge of financial products or experience is required
• They just have to be a self-starter, able to work well on their own with specific direction/guidance minimal hand-holding the most important thing is the tech skills

Data Scientist / Quant
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 broad scope with a geographically distributed team
· Able to work independently on a wide range of 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 etc.
· Experience exploring and working with new datasets, assessing data quality and exploring for valuable insights – preferably with financial or time-series datasets
· Familiarity with orchestration tools e.g. Apache Airflow
· Good understanding of cloud solutions – we are AWS based.
· Experience working 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 some experience with CI/CD
· Comfortable building and deploying containerised solutions.

Nice to have
· Experience developing and deploying machine learning models
· Experience working in financial markets
· Knowledge of best practices when back testing models.

Day to Day Duties
· Implement data on-boarding (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 email your resume to alex@amtexenterprises.com & shabu@amtexenterprises.com