Location: Stamford, CT, United States

Organization: InCommodities North America

Application deadline: We’ll review applications on an ongoing basis, so don’t wait too long to send yours

Are you ready to be part of something groundbreaking? At InCommodities, we are redefining how data and technology drive energy markets. As we continue our rapid North American expansion, we are looking for top-tier talent to help build a cutting-edge algorithmic trading framework—one that will power our independent North American platform.

This is where you come into the picture, as we are looking for a Quantitative Developer who can design, develop, and optimize real-time trading systems. In this role, you will work closely with quants, analysts, and traders to push the boundaries of algorithmic execution. So if you are passionate about high-performance systems, data-driven decision-making, and collaborative problem-solving, this is your chance to make a real impact.

What you'll do

• Design, develop, and implement a scalable and modular algorithmic trading framework for continuous algorithms, that interacts with the execution engine.
• Ensure system reliability through robust testing, monitoring, and failover mechanisms.
• Work closely with quants to improve framework and strategy performance.
• Understand algorithmic trading architectures and order execution logic.
• Experience deploying real-time trading systems that run continuously.
• Work closely with analysts and traders who contribute to the framework and utilize it for decision-making.
• Maintain thorough documentation of model functionalities and interfaces.
• Conduct rigorous testing and validation to ensure model accuracy and robustness.
• Ensure high-quality input data for models.
• Implement continuous monitoring processes to detect and address potential issues proactively.
• Drive initiatives for ongoing improvements in data quality and model performance alongside the team

What you bring

• Have a master’s degree or PhD in software engineering, computer science, physics, or another related programing or software development field. 
• Have 3+ years’ experience in quantitative modeling, statistical analysis and systematic, trading strategies or similar.
• Have strong programming proficiency, especially in Python.
• Have experience with modern software development practices required (e.g., unit testing, version control practices, regression testing, CI/CD)
• Have experience with building and maintenance of algorithmic trading frameworks preferred, including model development, back-testing, and execution strategies.
• Have proficiency in SQL databases (SQL Server, PostgreSQL) and ORM frameworks (Entity Framework, Dapper), with the ability to optimize queries and ensure data integrity.

How you work

• Are self-motivated with a can-do attitude in your work. 
• Have a strong ability to communicate complex quantitative concepts to non-technical stakeholders.
• Have a curious and open mindset towards different tasks and challenges. 
• Thrive in a fast-paced, dynamic environment with a high level of autonomy and decentralized decision-making.
• Are a team player with a collaborative mindset who works well in cross-functional teams with traders, analysts, and business users. 
• Are willing to travel to Denmark as part of onboarding, especially during the first 12 months.
• Are based in or willing to relocate to Stamford, CT. 

What you can expect from us

• A steep learning curve and thorough onboarding program to ensure you’re ready to take on your new role
• A high level of autonomy
• Exceptional colleagues who are bold, honest, ambitious, and the smartest in their field
• A unique company culture where we live up to our values: Honesty, Transparency, and Rethink and where you do not have to abide by a dress code or a strict hierarchy
• Great events - both in the teams and in the entire organization
• The opportunity to develop both professionally and personally

Benefits

• Flexible working hours and hybrid work schedule
• Health insurance
• 401k with employer matching
• Parental leave including paid and unpaid options
• Generous PTO policy and paid holidays
• Door Dash allowance and snacks and drinks at the office
• Internet and optional cellphone reimbursement
• Access to office gym