Point72 Asset Management jobs

Summer 2027 Quantitative Developer Internship New York Please send CVs to [email protected] with “202 7 QD Summer Internship Application” in the subject line. When your application is received, we will consider you for all similar positions at Cubist. About Cubist: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. About Our Team: KEPL is a fast-growing team at Cubist Systematic Strategies. We specialize in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms. We have an open and collaborative culture, and we value rigorous research and innovative technologies. Role / Experience: We are looking for exceptional students to be our quantitative developer interns for the summer of 2027 . An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical and programming skills and be able to solve hard problems rigorously. Our typical intern candidates come from math, computer science, or other related programs of top US universities. Our internship program offers unique KEPL experience. During the internship, our interns will receive rigorous and comprehensive trainings. They will further learn and develop strong analytical skills through working with our full-time researchers

Summer 2027 Quantitative Research Internship New York Please send CVs to [email protected] with “202 7 QR Summer Internship Application” in the subject line. When your application is received, we will consider you for all similar positions at Cubist. About Our Firm: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. About Our Team: KEPL is a fast-growing team at Cubist Systematic Strategies. We specialize in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms. We have an open and collaborative culture, and we value rigorous research and innovative technologies. Role / Experience: We are looking for exceptional students to be our quantitative researcher interns for the summer of 2027 . An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical skills and be able to solve hard problems rigorously. Our typical intern candidates come from quantitative PhD programs of top US universities. Our internship program offers unique KEPL experience. During the internship, our interns will receive rigorous and comprehensive trainings. They will develop strong research skills through working closely with our full-time researchers on brand new quant trading models with

Asset Manager Oakland, California, United States What we do and why we do it As the leading end-to-end investment platform for single-family rental homes (SFR), our mission is to make real estate investing radically accessible, cost effective, and simple. We successfully merge our passion for helping investors build wealth through real estate with cutting edge technology that transforms the way they do it. How it's going (and growing) With a talented team of 600+ Roofsters, our collaborative, can-do culture is what fuels our growth. In 2022, we closed on our Series E, raising $240 million, and have offices in California, Texas, and New York as well as many remote opportunities. Our growth includes recent acquisitions of Stessa (financial and asset management software), RentPrep (tenant screening and placement service for landlords), and Mynd (property management platform for both Retail and Institutional investors). About the Role Roofstock is looking to hire an analytical, entrepreneurial, and experienced Asset Manager to join the Asset Management team. This team player will be intimately familiar with the mechanics of optimizing rental properties, regardless of geographic location, to produce desired outcomes for investments of varying classes, and manage the operational nuances of various investor types. The Asset Management team will apply their expertise to influence all high value operating decisions with the goal of maximizing NOI and helping our investors achieve their goals, all while providing excellent service. The Asset Manager will advise our property managers at a regional market level through all crucial decisions in the

Consultant, Investment Operations 2 Locations posted: Posted 30+ Days Ago

Commercial Asset Consultant Sr 3 Locations posted: Posted Yesterday

DevSecOps Engineer Bengaluru, India JOB TITLE Dev Sec Ops Engineer A Career with point72'S TECHNOLOGY TEAM As Point72 continues to reimagine the future of investing, our Technology group is constantly improving our company's IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We're a team of experts experimenting and discovering new ways to provide exceptional end user experience while embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our team while satisfying your own intellectual curiosity. Our Technology Infrastructure team engineers and operates the foundational technology platforms that power all of the firm's applications and businesses. Our disciplines span a broad array of technologies from datacentre infrastructure to large scale cloud services, with the shared goal of providing the most reliable, performant, modern technology platforms to improve time-to-market for our business. We also deliver end-user technology solutions to support the evolving collaboration and productivity needs of our global teams. Our team focuses on innovation and challenging the current state of our infrastructure technology in a fast-paced, dynamic, and collaborative working environment. What You'll Do - Contribute to the design, development, and implementation of our robust SDLC platform, encompassing CI/CD pipelines, automation tools, and infrastructure as code - Lead the implementation and optimization of CI/CD pipelines using GitHub Actions and support our legacy Jenkins pipelines during migration - Implement and maintain secure build chains with software supply chain security controls, including dependency scanning, SBOM generation, and artifact signing - Partner with

Investment Management Consultant II - Smithfield Smithfield, RI posted: Posted 2 Days Ago

Software Asset Management Specialist Multiple Locations

Machine Learning Engineer, GenAI Technology Bengaluru, India A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company's IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We're a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. What you'll do - Lead the design, development, and operation of scalable, enterprise-grade AI/ML architectures and systems with a strong emphasis on reliability, availability, and performance. - Lead and mentor a team of engineers, driving technical direction, code quality, and iterative delivery of large-scale solutions. - Partner closely with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products. - Own the end-to-end lifecycle of GenAI services, including LLM inference, model serving, and proxy/gateway layers that support multiple downstream applications. - Define and uphold engineering best practices around observability, scalability, security, and cost efficiency for AI/ML platforms. - Evaluate tools, technologies, and processes to ensure the highest quality and performance of AI/ML systems. - Stay abreast of the latest advancements in AI/ML technologies and methodologies, and translate them into pragmatic solutions for the business. - Ensure compliance with industry standards and best practices in AI/ML. What's required - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 10+

IT Operations Engineer, Application Support Bengaluru, India JOB TITLE IT Operations Engineer, Application Support A CAREER WITH POINT72'S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company's IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We're a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU'LL DO • Provide technical support for software applications and investigate, diagnose, and resolve application issues • Automate start-of-day and end-of-day checks for key applications. • Log and track incidents across applications in the production environment. • Implement monitoring and automation initiatives and develop custom solutions using Python, Shell, and/or Powershell scripts. • Create tactical support tools and scripts to improve the incident investigation process and enable • transparency into potential business impacts. • Prioritize and categorize incidents based on severity and impact. • Collaborate with the development team to improve applications based on user feedback. • Create and maintain documentation for responding to common errors and application incidents. • Assist with software applications deployment and configuration . • Provide training and assistance to users to ensure effective use of applications and systems. • Develop knowledge base resources to empower users to independently resolve common problems. WHAT'S REQUIRED • Bachelor's degree in computer science, information technology, or a related field. •

Regions Business Capital Portfolio Manager 2 Locations posted: Posted 30+ Days Ago

Database and Content Specialist - Asset Management London, United Kingdom posted: Posted 23 Days Ago

Liquidity Solutions Sales (VP level) - Asset Management London, United Kingdom posted: Posted 30+ Days Ago

Tax Credit Equity Asset Manager 2 Locations posted: Posted 30+ Days Ago

Multi-Asset Portfolio Manager Baltimore, MD posted: Posted 9 Days Ago

Asset Management Specialist Budapest, Hungary posted: Posted 30+ Days Ago

Business Analyst Singapore ROLE/RESPONSIBILITIES: The Cubist Business Management team manages all aspects of onboarding new systematic equity trading teams and systematic macro trading teams as well as deployments of new trading strategies. The team also represents PMs with external counterparties and is responsible for rate negotiations, quant research vendor relationship management, and trading relationship management. General responsibilities include, but are not limited to, assisting veteran Cubist Business Management team members along the following lines: - Complete project lifecycle management launching new PM Teams into production - Design PM research and trading solutions that adhere to firm standards - Educate PM teams on Point72 operating procedures and technology integration - Lead new strategy rollout projects internally with Technology, Operations, Legal, Compliance, and Risk groups, and externally with brokers, exchanges, and vendors - Provide day-to-day support for various operational procedures such as broker data management, compliance monitoring, trading, and business continuity The person in this role must have a technical background as well as good communication skills and a willingness to learn day-to-day trading and finance operations. The candidate should have a good understanding of global market structure and electronic trading systems and have familiarity with trading rules and regulations or demonstrate an aptitude to learn. Familiarity with research and market data sources is a strong plus but not a requirement. REQUIREMENTS: - This is a highly selective position. The ideal candidates will have a combination of software development and communication skills with some experience working in a financial services organization. -

Data Reliability Engineer Bengaluru, India JOB TITLE Data Reliability Engineer A CAREER WITH CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. What you'll do - Ensure smooth day-to-day implementation of a large research infrastructure and the timely delivery of comprehensive and error-free data to Cubist's portfolio managers across the globe - Serve as a frontline owner for mission-critical data ETL pipelines that power trading and investment decision-making, ensuring reliability, accuracy, and timeliness. - Actively manage and resolve data incidents in a fast-paced trading environment, partnering closely with investment professionals, data scientists, and external data vendors. - Design and build tooling, automation, and robust documentation to improve operational efficiency, scalability, and data quality across the platform. - Play a hands-on role in daily data operations, including data validation, remediation, and enrichment, with opportunities to continuously improve and modernize workflows through engineering best practices. What's REQUIRED - Bachelor's degree in computer science or a related field. - Strong proficiency in SQL Server and Python programming, with experience in AWS and both Windows and Linux environments. - Exceptional attention to detail with a strong appreciation for well-defined processes and systems. - 3+ years of experience in a client-facing support or operations role. - Excellent organizational, communication, and interpersonal

Asset Manager Auckland posted: Posted 30+ Days Ago

Quantitative Researcher - Macro New York About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role Quantitative researcher to help build out a systematic macro (futures, FX, and vol) strategies. Core focus will be working on mid-frequency alpha strategies. Job Description - Develop systematic trading models across FX, commodities, fixed income, and equity markets - Alpha idea generation, backtesting, and implementation - Assist in building, maintenance, and continual improvement of production and trading environments - Evaluate new datasets for alpha potential - Improve existing strategies and portfolio optimization - Execution monitoring - Be a core contributor to growing the investment process and research infrastructure of the team Desirable Candidates - Masters or PhD in mathematics, statistics, physics or other quantitative discipline. PhD in statistics or machine learning is a plus - Experience in quantitative trading, ideally in FX or futures - Experience with alpha research, portfolio construction and optimization - Experience building statistical/technical, fundamental, and data driven signals - Experience synthesizing predictive signals for both cross-sectional and time-series models - Strong experience with data exploration, dimension reduction, and feature engineering - Thorough understanding of and comfort using a variety of regression techniques-including OLS, MLS, Ridge, Lasso, and Bayesian inference-as well as techniques for dealing with

Commercial Asset Consultant 8 Locations posted: Posted 10 Days Ago

Quantitative Software Developer New York ABOUT CUBIST: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. RESPONSIBILITIES: - Building components for both live trading and simulation - Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components - Building tools for signal blending, simulation, portfolio construction, the research framework, and dashboards - Maintaining and updating the platform, ensuring its stability, robustness, and security - Developing robust data checking and storage procedures - Troubleshooting and resolving any systems related issues and handle the release of code fixes and enhancements REQUIREMENTS: - Bachelor's degree or higher in computer science or other STEM discipline - Advanced proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals - Experience contributing to core Python numerical libraries is a huge plus (numpy, tensorflow, torch, jax) - Proficiency with Linux - Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control) - Strong quantitative and analytical skills; command of linear algebra, statistics, and machine learning would be helpful - Proficiency with C/C++ is a plus - Experience with designing and implementing trading systems is a plus - Commitment to the highest ethical standards

Cubist Quantitative Researcher Intern Singapore ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE Quantitative alpha research requires mastery of multiple domains. The best research requires original research ideas, good intuition, strong data analysis skills, and good research planning. Our research directly drives our investment decisions. This role is highly selective. We have a long history of training extraordinarily talented academic researchers to succeed in the investment services industry. Prior experience in the financial services industry is not required. RESPONSIBILITIES - Provide research assistance to full-time researchers - Assist with data collection and preliminary analysis - Follow, digest, analyze and improve upon the latest academic research DESIRABLE CANDIDATES - Ph.D. candidates in finance, economics, mathematics, statistics, physics, computer science, or other quantitative discipline. - Programming in any of the following: R, Python, or C++. - Experience with SQL. - Solid research experience in the field of the candidate's specialty. - Strong analytical and quantitative skills. - Detail-oriented. - Demonstrated ability to learn and apply new methodologies to real life problems. - Willingness to take ownership of his/her work. - Ability to work both independently and collaboratively within a team. - Strong desire to deliver high quality results in a timely fashion. - Prior experience

Machine Learning Engineer New York About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role/Responsibilities: We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day-to-day operations, such as creating a production support AI agent that helps monitor production problems and suggest actions. This role will also work with the AI research group on various projects such as creating synthetic data for training and using MCP agents to streamline research workflow. Requirements: - PhD or PhD candidate in machine learning, computer science or other AI related research fields - Experience with sequential modeling and time series forecasting using deep learning - Experience with deep neural networks and representation learning - Prior experience working in a data driven research environment - Experience with translating mathematical models and algorithms into code - Proficiency in programming languages such as Python and R - Experience with machine learning software libraries such as TensorFlow or PyTorch - Experience implementing Agent or Context engineering is strongly preferred - Experience with natural language processing technology is strongly preferred - Excellent analytical skills, with strong attention to detail - Collaborative mindset with strong