Role: Support Analyst Team: Technology Operations Experience: 5-12 years Position Overview: Provide 24x5 support on-site and to a global community of approximately 500 + users as per business requirement; Provide on-call weekend support on a rotational basis; Manage raised requests and incidents in a timely manner following well-rehearsed internal request runbooks/knowledge based and incident management and request fulfillment processes; Partner with Level 2 & 3 internal and external teams/vendors as appropriate to help troubleshoot more complex incidents; Provide alert management to pro-active resolve failure alerts, degraded services and unavailable services through internal monitoring tools; Proactively automate common tasks to improve efficiency and increase productivity; Collaborate with internal and external teams to develop strategic solutions; Perform related duties & responsibilities as requested. Required Qualifications: Detailed knowledge and experience in a Microsoft environment supporting Windows 10, Windows Server 2012+, Office Suite including Outlook, Office 365 and Azure, including OneDrive, DLP and SharePoint Detailed knowledge and experience with Active Directory, Group Policy, remote access solutions and software deployment Detailed knowledge and experience installing, troubleshooting and managing desktop hardware; Relentless dedication to customer service Works with minimum supervision, proactively follows up on outstanding issues/tickets Ability to handle multiple tasks with changing priorities and capable to handle frequent interruptions positively Strong analytical, prioritizing, interpersonal, problem-solving skills Strong verbal and written communication skills Demonstrated collaborative skills and ability to work well within a team Ability to work in a fast-paced and deadline-oriented environment Self-motivated with critical attention to detail, deadlines and reporting Demonstrated interest in learning about new and emerging technologies Self-directed learner and ability to find solutions to problems they have not encountered before. Degree in Computer Science, Engineering or related field or experience. Nice to have: Desired experience in the following areas a plus: Powershell and Python; Network; Linux environment

Department: Technology Position Overview: As a Quant Developer at Squarepoint you will work side-by-side with Quant Researchers and Traders to implement novel trading strategies and software for research projects. You could develop tools to apply advanced statistical methods in order to identify new trading opportunities and to monitor their impact over time. You could also develop improvements to our trading strategies through the running and thorough analysis of backtesting simulations across vast amounts of proprietary data. Whatever your project, you will drive cross-team initiatives at Squarepoint and will gain an excellent chance to learn from some of the world's most knowledgeable industry experts as you work towards our continued innovation in the quant research space. Required Qualifications: Degree in Applied Math, Physics, Engineering, Quantitative Finance, Computer Science or other quantitative disciplines Up to 4 years of experience in a relevant role such as software or quant development Proficiency in at least one of Python, C++, or KDB+/q Strong interest in, or knowledge of finance and the global markets Experience working with git and Linux Excellent written and verbal communication skills Eagerness to continuously learn new technologies and develop with us Ability to work well in a fast-paced environment Nice to have: Master's degree or higher with emphasis in a highly quantitative discipline Deep knowledge of financial markets in at least one domain or asset class Experience with database management systems and related technologies such as SQL Experience working with financial data in a similar role

Role: Quant Developer (KDB) Team: Quantitative Development Location: Bangalore Position Overview: Squarepoint Capital is adding to our team of world class quantitative developers. Successful candidates will join a highly accomplished team of professionals working directly with quantitative researchers to design, implement, deploy and use software for research and trading. As part of the technology team, the team follows modern software development principles and works with peers in technology to mature and evolve these tools for wider use. Quantitative developers drive cross-team initiatives with technologists and quantitative researchers across all asset classes to achieve Squarepoints objectives. Required Qualifications: Degree in applied math, physics, engineering, quantitative finance, computer science 3 or more years’ experience with KDB Knowledge of finance, data storage, processing and analysis Experience with modern software development: Version control, agile development Experience with continuous integration (CI), logging and monitoring systems a plus Advanced quantitative skills a plus Experience with requirements analysis and designing software solutions a plus Excellent technical communication skills

Team: Development - Alpha Data Position Overview: We are seeking an experienced Python developer to join our Alpha Data team, responsible for delivering a vast quantity of data served to users worldwide. You will be a cornerstone of a growing Data team, becoming a technical subject matter expert and developing strong working relationships with quant researchers, traders, and fellow colleagues across our Technology organisation. Alpha Data teams are able to deploy valuable data to the rest of the Squarepoint business at speed. Ingestion pipelines and data transformation jobs are resilient and highly maintainable, while the data models are carefully designed in close collaboration with our researchers for efficient query construction and alpha generation. We achieve an economy of scale through building new frameworks, libraries, and services used to increase the team's quality of life, throughput, and code quality. Teamwork and collaboration are encouraged, excellence is rewarded and diversity of thought and creative solutions are valued. Our emphasis is on a culture of learning, development, and growth. Take part ownership of our ever-growing estate of data pipelines, Propose and contribute to new abstractions and improvements - make a real positive impact across our team globally, Design, implement, test, optimize and troubleshoot our data pipelines, frameworks, and services, Collaborate with researchers to onboard new datasets, Regularly take the lead on production support operations - during normal working hours only. Required Qualifications: 4+ years of experience coding to a high standard in Python, React, Javascript Bachelor's degree in a STEM subject, Experience with and knowledge of SQL, and one or more common RDBMS systems (we mostly use Postgres), Practical knowledge of commonly used protocols and tools used to transfer data (e.g. FTP, SFTP, HTTP APIs, AWS S3), Excellent communication skills. Nice to haves Experience with big data frameworks, databases, distributed systems, or Cloud development. Experience with any of these: C++, kdb+/q, Rust.

Team: Development - Alpha Data Position Overview: We are seeking an experienced Python developer to join our Alpha Data team, responsible for delivering a vast quantity of data served to users worldwide. You will be a cornerstone of a growing Data team, becoming a technical subject matter expert and developing strong working relationships with quant researchers, traders, and fellow colleagues across our Technology organisation. Alpha Data teams are able to deploy valuable data to the rest of the Squarepoint business at speed. Ingestion pipelines and data transformation jobs are resilient and highly maintainable, while the data models are carefully designed in close collaboration with our researchers for efficient query construction and alpha generation. We achieve an economy of scale through building new frameworks, libraries, and services used to increase the team's quality of life, throughput, and code quality. Teamwork and collaboration are encouraged, excellence is rewarded and diversity of thought and creative solutions are valued. Our emphasis is on a culture of learning, development, and growth. Take part ownership of our ever-growing estate of data pipelines, Propose and contribute to new abstractions and improvements - make a real positive impact across our team globally, Design, implement, test, optimize and troubleshoot our data pipelines, frameworks, and services, Collaborate with researchers to onboard new datasets, Regularly take the lead on production support operations - during normal working hours only. Required Qualifications: 5+ years of experience coding to a high standard in Python, React, Javascript Bachelor's degree in a STEM subject, Experience with and knowledge of SQL, and one or more common RDBMS systems (we mostly use Postgres), Practical knowledge of commonly used protocols and tools used to transfer data (e.g. FTP, SFTP, HTTP APIs, AWS S3), Excellent communication skills. Nice to haves Experience with big data frameworks, databases, distributed systems, or Cloud development. Experience with any of these: C++, kdb+/q, Rust.