| Quant Developer (Python, Apache Spark, AWS) at Apache, Oklahoma, USA |
| Email: [email protected] |
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Title: Quant Developer (Python, Apache Spark, AWS) Required Location: Hybrid in Midtown NYC or Austin TX. Need locals Interview Required: Video Duration: 6+ months **Candidates must have Long Projects/Good Tenure, Excellent communication skills and a State issued ID (Not Bills) showing they are Local. Candidates must be LOCAL to the NEW YORK or NEW JERSEY or Austin, TX area and COMMUTE into the office THREE TIMES A WEEK. 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 with 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 Anudeep jallu | Sr.Recruiter [email protected] This e-mail message is intended only for the named recipient(s) above and may contain nonpublic, confidential and/or proprietary information for disclosure to and use by the intended recipient only. This e-mail is confidential and may contain information that is privileged or exempt from disclosure under applicable law. If you have received this message in error please immediately notify the sender by return e-mail and delete this e-mail message from your computer. An error in transmission is not intended to waive confidentiality or privilege. -- Keywords: continuous integration continuous deployment information technology Idaho Texas Quant Developer (Python, Apache Spark, AWS) [email protected] |
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| 09:43 PM 04-Dec-24 |