Quantitative Researcher: Commodities

Key Skills

C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity, and venture capital.

Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world’s most complex economic problems.

We are looking for a quantitative researcher with an excellent background in commodities markets, statistical techniques and data analysis. In this role, you will navigate the full investment process and apply a rigorous scientific approach to create trading strategies in global commodity markets.

You will take on the following responsibilities:

• Build systematic strategies in global commodity markets
• Apply advanced quantitative modeling and statistical techniques
• Engage in the full investment process
• Contribute to an innovative research and simulation platform
• Collaborate in a team environment with quantitative researchers, data scientists and engineers

You should possess the following qualifications:

• At least 3 years of commodities experience
• In-depth knowledge of commodity markets, including energies, metals and/or agriculture
• Advanced quantitative and data analysis skills: estimation methods, time series analysis, machine learning techniques
• Excellent skills in at least one programming language (like Python, Java, C or C++)
• Advanced degree in a technical or quantitative discipline, like statistics, mathematics, physics, electrical engineering, or computer science is preferred
• Ability to tackle in-depth research projects, discover creative solutions and communicate complex ideas clearly

You will enjoy the following benefits:

• Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance 
• Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
• Learning: Tuition reimbursement, conference and training sponsorship
• Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
• Hybrid Work Policy: Flexible in-office days with budget for home office setup

The base pay for this role is anticipated to be between $160,000 and $300,000. The anticipated base pay range is based on information as of the time this post was generated. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.