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As a Software Engineer in Risk Technology, you will enhance web application features focusing on user experience. Responsibilities include coding in React, JavaScript, and CSS, creating reusable components, collaborating with back-end developers, and implementing a thorough understanding of the platform dynamics. You'll also automate builds and write unit tests.
As a Software Engineer on the Risk Technology team, you will build a scalable reporting framework for processing large datasets and support risk management initiatives. You will collaborate with peers, develop quantitative risk models, and innovate to improve product delivery, while solving complex problems using advanced technologies.
The role involves building tools and conducting data analysis to identify market trends and opportunities in credit markets, developing RV screens and models, and creating portfolio tracking systems and data visualization tools for analysis.
As a data analyst, you will collaborate with a portfolio manager and research analysts to analyze compliance-approved data impacting investment decisions in commodities. Your role includes building data products, automating processes, maintaining data structures, and leading vendor communication while documenting work extensively and staying updated on technologies.
The Investor Relations Associate will support the Capital Development and IR team by preparing marketing materials, responding to investor inquiries, managing data room access, and assisting in investor engagements and roadshows. Strong communication and project management skills are essential, alongside a collaborative mindset to enhance investor relations strategies.
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 System Engineer will install, configure, and maintain Windows and MAC OS systems, troubleshoot technical issues, manage advanced device configurations using SCCM and Intune, develop scripts for automation, and provide technical support to end users. They will collaborate with teams to enhance IT infrastructure and document procedures.
The Cubist Quantitative Researcher will conduct original quantitative alpha signal research, manage the research process including data analysis and backtesting, evaluate new datasets, and improve upon academic research to drive investment decisions.
The Quantitative Researcher will conduct thorough research to identify systematic anomalies in global macro markets, manage the research pipeline including data processing and modeling, and improve portfolio trading strategies in a production environment.
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.
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