Search the 40 jobs at Point72

The Data Scientist in Proprietary Research will conduct deep fundamental research, utilizing data mining, statistical modeling, and machine learning techniques on unstructured data to provide insights for investment decisions. The role involves collaboration within a team, delivering findings to various stakeholders, and engaging in technical innovation within the firm.

As a data analyst embedded in an investing team, you will analyze data to support investment decisions. Your role includes building data products, predictive models, optimizing data infrastructure, and collaborating with compliance analysts, focusing on equities.

As a Data Engineer, you will collaborate with the investment team to connect fundamental research with data analysis and software solutions. Your role includes developing AI and machine learning applications, creating tools for quantitative efforts, and processing Compliance-approved data in both on-premises and AWS environments using technologies like Kafka, Spark, and SQL.

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.

The Daily Fund Reconciliation Associate will supervise reconciliations, support daily account reconciliations across various product areas, manage relationships with fund administrators, investigate discrepancies, ensure accurate recording of financial data, and assist with month-end close processes.

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 Administrative Assistant will support Portfolio Managers and Analysts by managing calendars, organizing meetings, coordinating travel, creating expense reports, and maintaining strong relationships with internal and external partners.

The Quantitative Software Developer will design, implement, and maintain trading and research systems for a mid-frequency equity portfolio, including projects like distributed machine learning algorithms, news signal processing pipelines, trade monitoring dashboards, and error debugging in simulations.

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.

As a Quantitative Developer, you will design and develop software for research and trading processes, manage CI/CD pipelines, build tools for data organization and visualization, automate order generation, and create UI tools for portfolio management.

The Quantitative Researcher will conduct independent quantitative research focusing on systematic corporate bond and credit derivatives strategies. Responsibilities include implementing fitting tools, organizing data, and generating alpha models, while improving investment processes in collaboration with team members.

The Fundamental Data Researcher will normalize and sanitize fundamental data for public companies, track real-time corporate bond events, analyze fundamental data anomalies, collaborate on capital structure predictions, and seek alternative data sets for corporate credit signals.

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.

As a Senior Surveillance Associate at Point72, you will conduct trade and communication surveillance to identify compliance risks, provide strategic assessments, and craft detailed analyses for risk mitigation. You will also stay updated on regulations, collaborate with management, and report findings on non-compliant events.

The Audit Manager at Point72 will assess process risks, design audit programs, and provide valuable recommendations to improve risk management and operational effectiveness. They will also prepare audit reports, consult with senior leadership, and manage co-sourcing staff for external consultations, while leveraging technology for audit automation.

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.

As a Web Scraping Engineer at Point72's Market Intelligence Team, you will be responsible for extracting and ingesting data from websites using Compliance-approved web crawling tools. You will build solutions for processing big and unstructured data sets, test data accuracy and compliance, and identify and rectify issues with data breaks. Required skills include Python, SQL, cloud-based technologies (AWS stack), Linux/UNIX, HTTP, HTML, JavaScript, Networking, and familiarity with web scraping tools like Requests, BeautifulSoup, Selenium, Playwright, Scrapy, Pandas, Spark, etc.

As a Canvas Fundamental Researcher, you will conduct qualitative research on various industries, synthesizing findings into comprehensive reports. You will communicate with private company executives to gather insights on market dynamics and trends, while collaborating with investment professionals and compliance teams.