| Hybrid in NY & TX || Data Scientist must have Capital Markets and Quantitative Development experience || NO H1B, CPT & OPT at Remote, Remote, USA |
| Email: [email protected] |
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Attach DL of NY & TX || No Relocation Data Scientist must have Capital Markets and Quantitative Development experience Brevan Howard Visa: No H1B, CPT & OPT Location: Hybrid - Midtown NYC or Austin, TX (3 days per week onsite) Duration: 6 months+ Project Type: Contract (C-C preferred) Interview Mode: Video Interview Required details and documents during submission: 1. Drivers license or State ID (Showing they are local to the specified location) 2. Link to the candidate's LinkedIn profile 3. Full submittal details (see below) Note as Hiring Manager for recruiters: Candidates must be LOCAL to the NY/NJ or Austin, TX area and able to commute to the office three times a week. No relocation is considered. Long project tenure is preferred, with good communication skills and experience in Capital Markets/Quant. Only submit candidates who meet the technical and geographical requirements. Mandatory keywords should be in resume: Quant Development, Python, Apache, Spark, AWS, CI/CD, Data Engineering, ETL, Data Scraping, Data Transformation, Time-Series Datasets, Data Visualization, Plotly, Dash, Containerization, Financial Markets, Distributed Computing, Cloud Solutions, AWS, Airflow Job Title: Data Scientist / Quant Developer Job Overview: We are looking for two mid to senior-level Quant Developers with extensive experience working with Python, Apache, Spark, and AWS to perform Quant development within a Capital Markets Enterprise. The candidates will work on building quantitative models, exploring new datasets, assessing data quality, and extracting valuable insights. Financial or time-series datasets experience is a plus, as is familiarity with data visualization, containerization, and CI/CDprocesses . This is NOT just a Python Developer position Capital Markets/Quant experience is required. Key Responsibilities: Build and maintain quantitative models and analytics (e.g., visualizations and dashboards). Work with new datasets, assess data quality, and extract actionable insights ideally from financial or time-seriesdatasets. Implement data on-boarding (ETL, web scraping, data transformation). Collaborate with the team to create cloud-based solutions (AWS) for distributed computing frameworks (e.g., Spark). Use containerization techniques and work with CI/CD pipelines for efficient code deployment. Data visualization using tools like Plotly/Dash for expert and non-expert audiences. Follow best practices for source control, data manipulation, and storage. Skills and Experience: Soft Skills: Strong curiosity and an analytical mindset. Ability to learn new concepts quickly and adapt to different domains. Comfortable working independently with minimal supervision. Ability to thrive in a distributed team and a greenfield environment. Hard Skills: Strong experience in Python (with good coding practices). Experience with ETL, web scraping, and data transformation processes. Proficiency in Apache, Spark, and other distributed computing frameworks. Experience with AWS cloud services. Familiarity with orchestration tools like Apache Airflow. Experience with data visualization tools like Plotly/Dash. Experience in CI/CD practices. Ability to work with and deploy containerized solutions (Docker, Kubernetes). Nice to Have: Experience with machine learning model development and deployment. Previous experience in financial markets or developing models for trading. Knowledge of best practices for backtesting models. Daily Responsibilities: Work on data onboarding and database management tasks. Build and maintain market models related to supply and demand. Develop and maintain analytics (e.g., visualizations, dashboards) for decision-making. Submittal Format (Required for each candidate): Full Name: Rate: Location: Availability to Interview: One days notice Availability to Start: Email Address: Phone Number: Visa Status: Education (College/Year of Graduation): LinkedIn Profile Link: Certifications (Please list): Regards, Steve Williams Technical Recruiter -- Keywords: cprogramm continuous integration continuous deployment information technology Idaho New Jersey New York Texas Hybrid in NY & TX || Data Scientist must have Capital Markets and Quantitative Development experience || NO H1B, CPT & OPT [email protected] |
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| 08:22 PM 03-Dec-24 |