| Data Scientist ,Quant Python Apache Spark AWS || Location- Local In Midtown NYC or Austin, TX(Hybrid) || Visa : USC , GC at Austin, Texas, USA |
| Email: gagan@codeinfotek.com |
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https://rb.gy/r1ud0k https://jobs.nvoids.com/job_details.jsp?id=1976706&uid= From: Gagan Deshwal, Code Infotek gagan@codeinfotek.com Reply to: gagan@codeinfotek.com Data Scientist/Quant/Python/Apache/Spark/AWS - Only Local Location- Hybrid/Midtown NYC or Austin, TX Interview Required: Video Need Local DL Need LinkedIn *** We 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. **Candidates must have Long Projects/Good Tenure, Excellent communication skills and a State issued ID (Not Bills) showing they are Local. *** 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 & Regards... Gagan Deshwal Technical Recruiter Email: Gagan@codeinfotek.com 11350 Random Hills Rd. Suite 800 Fairfax, VA 22030 Web:- www.codeinfotek.com Keywords: continuous integration continuous deployment Idaho Texas Virginia Data Scientist ,Quant Python Apache Spark AWS || Location- Local In Midtown NYC or Austin, TX(Hybrid) || Visa : USC , GC gagan@codeinfotek.com https://rb.gy/r1ud0k https://jobs.nvoids.com/job_details.jsp?id=1976706&uid= |
| gagan@codeinfotek.com View All |
| 02:59 AM 03-Dec-24 |