Senior Quant Strategist

  • Cargill
  • Geneva, Geneve, Switzerland
  • 26/07/2021
Full time Data Science Data Analytics Big Data Data Management Statistics

Job Description

The Senior Quant Strategist will independently perform the most complex analytics and market intelligence activities to develop business intelligence, optimize effectiveness and predict business outcomes. We seek a multifaceted professional who will independently research data, market information and trends; create and maintain complex and global modeling tools and systems. In this role you will analyze data and interpret and execute strategies, sharing best practices. Key Accountabilities

Design trading strategies and build tools globally relating to fundamental and non-fundamental influences on commodity markets.
Lead the discovery and prototyping of new quantitative tools and strategies.
Develop scalable machine learning components to generalize models to other data sources, commodities or products and maintain advanced statistical ensemble systems.
Benchmark, back test and stress-test models to identify true sensitivities and risks.
Maintain and enhance code repository and models infrastructure in a scalable fashion.
Provide advisory to trading desks on the model's correct usage and conclusions and improvement opportunities.
Conduct the most complex market analyses and provide advisory to trading team to adjust their positions as appropriate.
Provide expert thought leadership in your field and work with limited direction, using additional research and interpretation to identify issues or problems. You may provide direction to supporting team members and be a strategic contributor.
Other duties as assigned Qualifications
Minimum Qualifications
Bachelor's degree in a related field or equivalent experience
Minimum of 6 years of related work experience
Preferred Qualifications
Masters and/or PhD in a quantitative discipline (statistics, computer-science, engineering, quantitative finance, etc.)
Hands-on experience building infrastructure: Python proficiency + SQL proficiency, knowledge of OOP languages
Experience in systematic trading of agricultural markets and other commodities
Experience with fundamental and alternative datasets, as they are the source of Cargill’s edge

Systematic trading of commodities: signal, portfolio construction, cost control. No need to be familiar with building an execution platform.

Experience using fundamentals successfully e.g. usda/nass/nopa etc reports, stocks, weather/vessels/satellite imagery