| Data Scientist - Quant - New York City or Austin, TX -GC and USC at York, New York, USA |
| Email: [email protected] |
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From: sunny, Source Infotech Inc [email protected] Reply to: [email protected] Hi, Hope you are all doing well, Please find the details of Requirement, Data Scientist / Quant Required Location: Hybrid/Midtown New York City or Austin, TX 3 days a week. Candidate Visas Accepted : No Opt. H1b Candidates must be LOCAL to the NEW YORK or NEW JERSEY or Austin, TX area and COMMUTE into the office THREE TIMES A WEEK. NO RELOCATION CONSIDERED. *** PLEASE Only send me candidates in the NY/NJ or Austin, TX area Open to hybrid. Need: 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. *** Candidate Must Haves 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 5. How many years working with: 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) Thanks, Sunny IT Recruiter Source InfoTech Inc., Email: [email protected] Keywords: continuous integration continuous deployment information technology New Jersey New York Texas Data Scientist - Quant - New York City or Austin, TX -GC and USC [email protected] |
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| 01:20 AM 03-Dec-24 |