Search the 8 jobs at Point72

The Quantitative Software Developer role focuses on implementing high performance applications, contributing to existing infrastructure, and enhancing data management processes. This individual will work on production critical applications and support systematic portfolio managers, ensuring smooth trading operations.

Entry-Level Quantitative Researchers at Cubist Systematic Strategies conduct rigorous quantitative research focusing on predictive models. Responsibilities include original alpha signal research, data analysis, developmental testing, and strategy generation. They are trained in systematic trading and are expected to collaborate effectively within a research team.

The Quantitative Risk Analyst will analyze portfolios to identify risk and performance drivers, develop stress testing and risk frameworks, conduct innovative research for risk management, and collaborate with technology teams and macro strategists to ensure high-quality models.

The Cubist Quantitative Researcher is responsible for conducting original quantitative alpha signal research, managing the research process, analyzing new data sets, and improving upon recent academic research to drive investment decisions.

The Macro Quantitative Analyst will enhance quantitative methods for portfolio management in EM Asia and DM FX and rates markets. Responsibilities include developing analytical tools, improving data quality, and collaborating with team members. The role requires strong quantitative skills with proficiency in Python and Excel, focusing on financial products and reliable data infrastructures.

The Cubist Portfolio Manager will manage portfolio risk, oversee trade execution, supervise a team of researchers, and design sophisticated investment strategies using quantitative financial modeling. The role involves conducting research for data sources, developing algorithms, enhancing strategies through quantitative analysis, and expanding trading into new markets.

The Data Analyst at Cubist will support the data services team by identifying data sources, coordinating with compliance and legal teams, assisting investment teams with data requests, and maintaining a data infrastructure. The role requires basic programming in Python and SQL, along with strong organizational and communication skills.

The Data Scientist will work with a team to deliver accurate data and develop predictive models for finance. Responsibilities include identifying new data sets, engaging with vendors, building tools for data management, analyzing data, and researching alpha signals for Portfolio Managers.