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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.

As a Cloud Automation Engineer at Point72, you will design, implement, and maintain Infrastructure as Code (IaC) and automation solutions on AWS. You will work on scalable automation, configuration management, security, CI/CD practices, and system monitoring.

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.