Employment Opportunities

Current employment opportunities are listed below. Please select "show more" to view the full detail & requirements for each opportunity or to apply online.

Job Title:
Economist
Job Function:
Trading
Details:

The Economist will conduct industry, market, and economic studies to support organizational objectives or solutioning. In this role, the individual will leverage varied data collection and statistical techniques, prepare results for interpretation, and share conclusions with stakeholders to shape potential strategies and enable continued innovation.

ESSENTIAL FUNCTIONS:

  • Conduct industry and market research, survey and data collection
  • Analyze data using mathematical models and statistical techniques
  • Prepare reports, tables, and charts to present research results and conclusions
  • Study historical trends to interpret and forecast market activity
  • Advise employees, businesses, and individuals on economic topics and potential strategies
  • Design policies or make recommendations to solve economic problems
  • Write articles for publication on SESCO’s intranet and external website
  • Aid in effort to help standardize economic research best practices and processes

REQUIRED KNOWLEDGE/SKILLS:

  • 3-5 years analysis experience
  • Master’s degree with a mathematical focus, such as Economics, Statistics, or Finance
  • Strong critical thinking, analytical, and problem solving abilities
  • Ability to distill complex economic data in the form or presentations/reports to technical and non-technical audiences
  • Proficiency to create econometric models or programs in R, Python, or other language/package
  • Excellent written and verbal communication
  • Strong attention to detail

WORKING CONDITIONS:

May require working evenings and/or weekends as needed.
No regular travel required.

Apply Online Show Less »
Job Title:
Data Engineer
Job Function:
Information Technology
Details:

ESSENTIAL FUNCTIONS:

  • Install and configure software
  • Develop and maintain support applications
  • Troubleshoot system issues and outages
  • Establish monitoring for web services and APIs
  • Develop and maintain technical documentation
  • Lead effort to offload computing functionality to the cloud (AWS)
  • Aid in effort to standardize best practices across applications and processes

The Data Engineer is responsible for effective provisioning, installation/configuration, operation, and maintenance of systems (hardware and software) related to quantitative trading team activities. In this role, the individual participates in technical research, new development, & maintenance of business activities to enable continued innovation with predictive analytic efforts.

  • Develop API, web services, and models
  • Develop scripts and data queries
  • Perform daily system monitoring verifying the integrity/availability of hardware resources, systems, and key processes/services
  • Repair and drive the identification of root cause for hardware or software failures. Coordinate and communicate with impacted team members and stakeholders.
  • Research and recommend innovative and, where possible, automated approaches for system administration, database, or monitoring activities
  • Contribute to and maintain operational, configuration, or other procedures

REQUIRED KNOWLEDGE/SKILLS:

  • 4-6 years development, system administration, and/or databases experience
  • Bachelor's degree with a technical major, such as engineering or computer science
  • Strong Linux experience
  • Ability to create scripts in Python, Shell, R, or other language
  • Software development experience (java, .NET, python, C/C++, or etc.)
  • Software Configuration Management (Git, SVN etc.)
  • Passion to learn, self-motivate, & drive execution in an entrepreneurial setting
  • Resourcefulness, demonstrated problem-solving aptitude and critical thinking
  • Excellent communication skills
  • Database experience (Oracle, MySQL, Postgres) / SQL
  • Cloud Compute (Google Cloud Platform, AWS, Paperspace, or etc.)

DESIRED KNOWLEDGE & SKILLS

  • Airflow experience
  • Python and/or R
  • Machine Learning/Data Science and/or familiarity with concepts and best practices
  • General cloud experience (AWS)
  • Comfort with a startup culture/environment
  • Webservice/API development
  • Data Warehousing

WORKING CONDITIONS:

May require working evenings and/or weekends as needed.
No regular travel required.

Apply Online Show Less »