Eleve Talent · 2 hours ago
Data Scientist
Greater St. Louis
Full-time
Onsite
Mid Level
$80K/yr - $100K/yrEleve Talent is a St. Louis-based investment firm that focuses on specialized market sectors and integrated strategic approaches. The Data Scientist will collaborate with trading teams to develop and enhance tools and strategies, ensuring successful execution through data-driven processes. This role involves building data pipelines, refining current processes, and contributing to innovative model development.
Staffing & Recruiting
Hiring Manager
Jess Miller
Responsibilities
Research and test hypotheses around new and existing trade strategies, using general back-testing and forward-testing strategies
Develop query and visualization functionality to help recall data and interpret trends
Build data ingest and processing pipelines to enable its use
Help identify data that would be useful to the organization and, once acquired, assess its quality
Prepare new, innovative models and assist with forecasting
Integrate data and trends into new processes
Productionize prototypes and ad-hoc processes to reliable, repeatable, predictable operations
Ensure data and processes to run the business are monitored and updated in the face of changes
Assist with developing platforms and tools to solve business problems in Python, Excel, or other tools as appropriate for the job
Assist with day-to-day trading operations and program or script debugging
Transition manual Excel-based processes to automatic or less-manual ones
Develop systems and programs to help screen and trade new or improved strategies
Develop our Django-based reporting platform to deliver alerts, provide views into current positions and risks, and enrich understanding
Collaborate with traders towards trading tool development or new techniques
Work with the leadership team, traders, and rest of the technology team to build and improve infrastructure to support the organization
Implement incremental improvements to the technology that underpins the above
Qualification
Required
Demonstrated ability to learn new concepts and subjects quickly and apply them to emerging issues
Entrepreneurial spirit and a willingness to be flexible in a fast-moving environment
Bachelor's degree with strong academic performance in mathematics, engineering, computer science, physics, or other hard science
Willingness to understand commodity trading and fundamental analysis
Solid understanding of probability and statistics
Experience with analytical tools for data manipulation and statistical modeling (Python NumPy/Pandas/Polars, MATLAB, etc.)
Understanding of programming concepts in a popular language like C/C++, R, Python, Rust, or JavaScript/TypeScript
Demonstrated ability for end-to-end development from idea inception to hypothesis testing, prototype generation, and productionizing programs
Demonstrated report and presentation development and delivery skills
Preferred
Familiarity with data transfer (SFTP and FTP, HTTP and hypermedia) and data representation (tabular, structured, and unstructured)
Familiarity with the Django web development framework
Interest in gaining an understanding of risk, volatility, and recommend ways to measure and act based on indicators of interest
Comfort in reading and understanding academic literature including books, journals, or scholarly papers
Experience with predictive models, including understanding of backtesting and forward testing strategies, Monte Carlo, and other ways to generate and validate models
Practice optimizing multi-parameter analyses to focus on finding the most important ones to consider
Exposure to the modern analysis ecosystem such as Jupyter Notebooks, Excel or Airtable with SQL, and data wrangling formats like CSV or Parquet
Understanding of version control like git and modern development tools like GitHub and modern deployment practices such as GitHub Actions, Continuous Integration/Continuous Development pipelines, and Infrastructure-as-Code (IaC)
Experience developing in the cloud using AWS Lambda, large relational databases, and columnar databases
Experience running sustainable tools and using modern logging, alerting, documentation, and security practices
Company
Eleve Talent
We specialize in helping early-stage companies from Pre-Seed through Series B build the kind of teams that fuel sustainable growth.
Founded in 2023
2-10 employees
Funding
Current Stage
Early StageLeadership Team
Ryan Moore
Co-Founder
Wendy Moore
Founder
Company data provided by crunchbase