Data Scientist
Saint Louis, MO · On-site
These products include using algorithms for automation, building predictive models, designing ... and/or other forms of quantitative analysis • Must have experience using libraries like ...
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Data Scientist
Saint Louis, MO · On-site
These products include using algorithms for automation, building predictive models, designing ... and/or other forms of quantitative analysis • Must have experience using libraries like ...
Supervise algorithm implementation in Cloud computing environments. * Collect and normalize data ... and execution decisions. * Employ a variety of analytic techniques, (e.g. engineering build-up ...
Supervise algorithm implementation in Cloud computing environments. * Collect and normalize data ... and execution decisions. * Employ a variety of analytic techniques, (e.g. engineering build-up ...
Oversee test design and activation, ensuring model execution, audience segmentation and timelines ... Expertise in developing and deploying state-of-the-art algorithms using machine learning ...
Oversee test design and activation, ensuring model execution, audience segmentation and timelines ... Expertise in developing and deploying state-of-the-art algorithms using machine learning ...
Algorithmic Execution Quant information
What is the difference between Algorithmic Execution Quant vs Quantitative Trader?
| Aspect | Algorithmic Execution Quant | Quantitative Trader |
|---|---|---|
| Primary Focus | Developing and implementing algorithms for trade execution to minimize market impact | Creating trading strategies to generate alpha and profit from market movements |
| Work Environment | Quantitative research teams, trading desks, technology-driven | Trading floors, portfolio management teams, research departments |
| Required Skills | Programming, market microstructure, execution algorithms | Quantitative modeling, market analysis, strategy development |
While both roles involve quantitative skills, an Algorithmic Execution Quant specializes in optimizing trade execution processes, whereas a Quantitative Trader focuses on developing strategies to generate profits. The roles often collaborate but serve different functions within trading firms.
What are the key skills and qualifications needed to thrive as an Algorithmic Execution Quant, and why are they important?
To thrive as an Algorithmic Execution Quant, you need a strong background in quantitative analysis, programming (often in Python or C++), and a solid understanding of financial markets, typically supported by an advanced degree in a quantitative discipline. Proficiency with statistical modeling tools, trading platforms, and market data systems, as well as familiarity with technologies like FIX protocol, is crucial. Strong problem-solving ability, attention to detail, and effective communication help you collaborate across trading, research, and technology teams. These skills are essential for designing, optimizing, and maintaining robust trading algorithms that achieve best execution and mitigate risk in fast-moving markets.
What are some common challenges faced by Algorithmic Execution Quants when developing and deploying trading algorithms?
Algorithmic Execution Quants often encounter challenges such as adapting strategies to rapidly changing market conditions, managing latency and slippage, and ensuring compliance with regulatory requirements. They must also balance the need for innovation with the necessity for robust risk controls and system reliability. Collaboration with traders, developers, and risk managers is essential to refine algorithms and ensure they perform optimally in live trading environments.
What does an Algorithmic Execution Quant do?
An Algorithmic Execution Quant is responsible for designing, developing, and optimizing algorithms that execute large financial trades efficiently and at minimal cost. They analyze market microstructure, create models to predict market impact, and work closely with traders and engineers to implement these strategies in real-time trading systems. Their work is essential in minimizing transaction costs and improving trade execution quality for their firm.
What are popular job titles related to Algorithmic Execution Quant jobs in Missouri? For Algorithmic Execution Quant jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Algorithmic Execution Quant jobs in Missouri look for? The top searched job categories for Algorithmic Execution Quant jobs in Missouri are:
Contractor
Posted 24 days ago
Job description
Location: St Louis, MO - Onsite Position
Duration: 6 months
GC/USC Highly Preferred - Potential contract to hire position.
Competencies: 5+ years experience required
Digital : Databricks
Job Summary: The Data Scientist builds analytical products to improve business processes. These products include using algorithms for automation, building predictive models, designing experiments, attempting causal inference with observational data, and using mathematical optimization to find the most profitable business policies. The Data Scientist works with technical and non-technical members of the company to help oversee the creation and adoption of analytical products.
Work and Skill Experience Required/Preferred
Required:
• Must have Master’s degree in Statistical or Mathematical field (e.g. Engineering, Social Science, or Statistics)
• Must have 2+ years of experience with predictive models, statistical inference, and/or other forms of quantitative analysis
• Must have experience using libraries like Tensorflow and Pytorch
• Must have experience preparing and giving presentations to technical and non-technical audiences
• Must have proficiency in R or Python
• Must be authorized to work in United States and not required work authorization sponsorship by our company for this position now or in the future. (Green Card or US Citizens only)
Preferred:
• Doctorate degree in Statistical or Mathematical field (e.g. Engineering, Social Science, or Statistics)
• Experience designing experiments
• Experience exploring and visualizing data
• Experience using Linux/Unix
• Experience using SQL
• Experience working with data (merging, recoding, etc.) from a variety of sources/formats
• Experience working with observational data to attempt causal inference (e.g. matching, weighting, etc.)
Roles & Responsibilities
• Work with the team to design and deliver analytical solutions
• Extract, clean, and manipulate both structured and unstructured data
• Perform exploratory data analysis
• Develop predictive models
• Design and oversee the execution of experiments
• Use observational data for causal inference
• Deliver documentation including descriptions of efforts, results, and recommendations
• Make presentations to team members and other business units
• Partner with the other teams to bring solutions to life
• Seek to improve job performance through self-assessment, skill development, training and goal setting
• Maintain a regular and reliable level of attendance and punctuality
• Perform miscellaneous job-related duties as assigned
To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily, including any physical demands. Reasonable accommodation may be made to enable qualified individuals with disabilities to perform essential job functions.
Generic Managerial Skills:
Liaison with Customer IT & Business Team. Good Communication & Presentation Skills, Ethics and Values, Forward-Thinking, Problem Solving and Results-Oriented