Point72 manages investments through discretionary, quantitative and private equity strategies.
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The IT Operations Engineer supports macro trading applications and contributes to the stability of production environments. They handle complex incidents, automate recurring tasks and support front-office teams and support engineers. The role requires at least five years' application support experience in financial services, as well as SQL, a scripting language and Unix.
The Corporate Access Analyst supports the London-based Corporate Access team in coordinating meetings, events, roadshows and conferences for investment teams. The role involves monitoring providers, preparing reports and managing multiple priorities with care and responsiveness.
Manage Point72's international corporate communications from London, covering the EMEA and APAC regions. The role includes media relations, executive visibility, internal communications and management of regional agencies. At least seven years of communications experience, a bachelor's degree or equivalent, and expertise in financial services media relations are required.
The Point72 Academy one-week work shadowing programme takes place in person at the London offices and offers an introduction to financial markets and the work of an investment analyst. It is aimed at undergraduate and postgraduate students and includes workshops, learning sessions and discussions with Point72 professionals.
Point72 is recruiting a Senior Data Engineer for its Market Intelligence team, which focuses on proprietary research and alternative data. The role involves designing data pipelines, tools and scalable cloud infrastructure, using Python, Spark, Airflow and backend APIs. At least five years’ experience in data engineering or software engineering is required.
Point72 is seeking a Macro Analyst intern for its Market Intelligence team, specialising in macroeconomic analysis of European markets. The role involves analysing alternative data, producing research and collaborating with the Data Science and Data Engineering teams to inform investment decisions in interest rate and foreign exchange markets. Proficiency in SQL and Python and one to five years' experience in macroeconomic, economic or investment research or consulting are required.
Point72 is seeking a quantitative libraries developer to design and enhance a Python analytics platform for its macro activities. The role involves creating APIs and services, integrating with C++ libraries and collaborating with quantitative researchers, traders and risk teams. At least 7 years of experience developing production Python platforms is required, with an annual salary of 200 000 to 300 000 USD.
Point72 is looking for an experienced trader to oversee a quantitative team’s systematic trading activities. The role covers trade execution across global OTC markets, monitoring portfolio construction and improving execution processes. At least 2 years of algorithmic trading experience and proficiency in SQL and Python are required.
Point72 is hiring a Sector Analyst intern to join the Proprietary Research – Market Intelligence team, focusing on European equities. The role involves analysing alternative data, producing research and collaborating with the Data Science and Data Engineering teams to inform investment decisions. The role requires one to five years of research experience, as well as proficiency in SQL and Python.
Point72 is looking for a C++ quantitative library developer to join its Technology team in London. The role involves designing and developing a production analytics library for macro activities, including valuation, calibration, scenarios and risk management. At least 7 years of experience developing production quantitative libraries is required, along with deep expertise in modern C++.
Point72 is looking for quantitative software development interns to contribute to a trading platform and research infrastructure. The internship takes place within small, collaborative teams and requires significant experience in Python, C++, C or Java, as well as a strong interest in systems programming.
Point72 is looking for a Quantitative Researcher specialising in machine learning to join the Internal Alpha Capture team, which develops AI-driven equity trading signals. The role involves designing, implementing and evaluating models on proprietary datasets to develop new trading signals. Experience in the financial sector is not required; a master’s or doctorate in machine learning, computer science, statistics or a related field is preferred.
This quantitative research internship applies advanced data modelling and statistical learning to market prediction and systematic trading. Responsibilities include preprocessing very large datasets and identifying variables useful for predictive market modelling. The role is aimed at students or researchers in finance, computer science, mathematics, physics or a quantitative discipline who are proficient in C++, Java, C#, MATLAB, R, Python or Perl.
- Level : Entry level
- Education : Five years of higher education
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Python
- data science
- feature engineering
Cubist is looking for a Quantitative Researcher to develop medium-frequency systematic equity trading strategies. The role covers anomaly research, data processing, backtesting, optimisation and production implementation, using Python and data science practices.
A Quantitative Developer role within Cubist Systematic Strategies, Point72’s systematic equities trading team. The role involves developing components for trading and research environments, automating processes and monitoring trading systems in London. At least two years of commercial experience with Python and its data science libraries on Linux is required, along with a Bachelor’s degree or equivalent in computer science or a STEM discipline.
Point72 is looking for a Product Strategist to join the Office of the CIO team and work with fundamental equity investment professionals. The role involves defining the product roadmap, analysing user feedback and supporting the adoption of internal platforms. At least 5 years of professional experience in product management, strategy, equity research or a related field is required.
Point72 is hiring a Fund Flow Strategist to join the Fund Flow Research team in New York. The role involves producing flow and positioning indicators, developing models and improving data offerings to support portfolio managers, analysts and traders. Experience in strategy, data science or quantitative research, as well as proficiency in Python and SQL, is required.
Point72 is looking for a Quantitative Analyst to join the Fund Flow Research team and develop flow and positioning indicators for investment teams. The role involves quantitative research, model building and data production using Python and SQL.
The Point72 Academy programme trains investment analysts specialising in fundamental equity research over ten months. Participants develop their skills in company analysis, financial modelling, statistics, data analysis and coding, with rotations across two investment teams. Part of the training takes place in the New York offices and includes mentoring and professional development resources.
Point72 is looking for a Global Technology Services Engineer to provide technical support to employees worldwide. The role covers troubleshooting issues with Windows, Microsoft 365, Active Directory, networks, mobile devices and enterprise applications. At least 3 years of technical support experience is required, with work on a 24/7 rota and five days per week in the office.
Point72 is looking for a Quantitative Researcher to join the Fund Flow Research team in New York. The role involves developing systematic trading strategies and signals for macro and equity markets using flow and positioning data. It requires proficiency in Python and large datasets stored in AWS, as well as a strong interest in research and financial markets.
Point72 is looking for a Fundamental Researcher to join its Canvas team, which focuses on fundamental supply chain research. The role involves becoming an expert in a sector, speaking with private company executives and synthesising research for investment professionals. Strong analytical skills, excellent communication skills and a high level of ethics are required.