Join Raen Trading
At Raen, we are building a global proprietary trading firm that leverages the power of data science to gain a competitive edge in the futures markets.
Our Proprietary Research team, also known as Market Intelligence, plays a critical role in this endeavor, partnering with our investment professionals to uncover hidden insights and generate alpha through deep fundamental research and the application of cutting-edge data science techniques to alternative data sets.
The Opportunity:
As a Data Scientist on our Proprietary Research team, you will:
- Conduct research through data mining and statistical modeling to discover insights from big data that are used by our investment professionals to make investment decisions.
- Work in a highly collegial environment that emphasizes teaching and learning as a team.
- Tackle the challenges of featuring and modeling large, unstructured data using machine learning and statistical techniques.
- Manage all aspects of the research and analysis process, including methodology selection, data collection and quality, modeling and analysis, and performance monitoring.
- Deliver research findings to investment teams, portfolio managers, and other internal clients.
- Work within a team to help drive technical innovation through a collaborative R&D process.
- Stay current on the evolving alternative data market and its role in discretionary investing.
- Speak with experts both inside and outside the Firm to understand data needs and offerings.
- Work in a fast-paced, dynamic environment.
- Work as part of a cross-functional team made up of investment, research, and compliance professionals.
What We Offer:
- Impactful Work: Your research will directly contribute to our investment decision-making process, driving alpha and shaping our trading strategies.
- Cutting-Edge Technology: Work with state-of-the-art tools and technologies in machine learning, statistical modeling, and big data analysis.
- Collaborative Culture: Join a team of talented data scientists, researchers, and investment professionals who are passionate about innovation and continuous learning.
- Mentorship and Development: Benefit from ongoing support and guidance from senior team members, with opportunities for professional growth and advancement within Rean.
- Competitive Compensation: Attractive base salary and a performance-based bonus, along with comprehensive benefits.
- Remote Flexibility: Work from anywhere in the world as part of our global team.
- Commitment to Integrity: We adhere to the highest ethical standards and work closely with our compliance team to ensure responsible data usage.
- Fully paid healthcare benefits.
- Generous parental and family leave policies.
- Mental and physical wellness programs.
The Ideal Candidate:
- Demonstrated interest in machine learning, statistical models, and data mining tools.
- Bachelor's/Master's degree in a quantitative discipline with 1+ year of professional experience.
- Strong programming skills in Python (preferred), R, Spark, or SQL.
- Exceptional understanding of statistics and advanced modeling techniques.
- Ability to communicate complex analyses and results clearly.
- Excellent attention to detail, organization, and project management skills.
- Strong verbal and written communication skills.
- Superb business intuition and a solution-oriented, methodological approach to problem-solving.
- Ability to collaborate and build relationships across business units within the Firm.
- Adherence to the highest ethical standards, working closely with the Firm’s Compliance team.
- Multi-tasking and switching gears frequently to address the needs of the business.
- Analytical thinking and an ability to sift through large unstructured data sets.
- Experiment-based approach with freedom to innovate.
About Us
Raen is a global proprietary trading firm that combines sophisticated discretionary and systematic trading strategies across global futures markets. We are committed to assembling a team of talented individuals who can apply data-driven insights to generate superior returns.