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Point72
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  • Point72 Fund Flow Analyst  

    - London
    Role:Point72 is looking for a Quantitative Analyst to join its Fund Fl... Read More
    Role:Point72 is looking for a Quantitative Analyst to join its Fund Flow Research team. The Fund Flow Group provides best in class flow and positioning indicators to help PMs, analysts, and traders across all investment functions understand their investment backdrop, better assess reward and risk, and identify alpha opportunities.
    Responsibilities: Refine and advance current product offerings.Contribute to research efforts formalizing and building new models. Assist in daily workflow contributing to internal communications and data production.Work with PMs and analysts to answer questions and identify needs and additional features. 
    Requirements: Undergraduate degree or higher in a technical field.Quant research or development experience at a financial institution.Experience working with time series and point in time data.Strong programming skills in Python and SQL.Strong written and verbal communication skills.Passion for research, markets, and problem solving.Intellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment.Commitment to the highest ethical standards. 
    The annual base salary range for this role is $150,000-$200,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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  • L/S NLP/ML Engineer - London  

    - London
    What you ’ll doExplore and combine rich internal and external complian... Read More
    What you ’ll doExplore and combine rich internal and external compliance approved textual datasetsFormulate research hypothesis to derive alphaBuild GenAI solutions, leveraging both internal models and permissible external APIsTurn unstructured text into usable data that can help provide inputs to the investment process and quantitative models Create systems to pull useful information from large collections of text Test and improve NLP and ML models so they are reliable and accurate 
    What’s required Bachelor, Master’s or PhD degree in computer science or another quantitative disciplineExperience in NLP, particularly LLMsProficient in Python, SQL, and general software engineering principles (github, testing, etc.)Familiarity with data science stack Interest in financial marketsCollaborative mindsetCommitment to the highest ethical standards 
    We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide:Private Medical and Dental InsurancesGenerous parental and family leave policiesVolunteer opportunitiesSupport for employee-led affinity groups representing women, people of colour and the LGBQT+ communityMental and physical wellness programmesTuition assistanceNon-contributory pension and more
    About Point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. t .

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  • Quantitative Developer  

    - London
    About Cubist:Cubist Systematic Strategies, an affiliate of Point72, de... Read More
    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 the team: The team focuses on systematic equity trading and, while established, is scaling its trading activity, offering an opportunity to join at a key stage and contribute across multiple development areas. The team members come from a mixture of quant analyst and development backgrounds, using the combination of skills to achieve a common goal. We require London based in the short term to maximize team efficiency but are flexible in location in the medium and long term. 
    Role/Responsibilities: An ideal growth role for a developer seeking opportunities across the full startup lifecycle—from building from scratch to scaling and expansion—while gaining an understanding of how technology drives efficiency and impact.Responsibilities may include:Building components for all aspects of live trading and research environments.Driving automation and robustness of the team’s processes.Developing robust data checking and handling procedures.Monitoring and troubleshooting any issues that should arise.Shared responsibility for timely and correct operation of trading systems.
    Requirements: Bachelor’s degree or equivalent in computer science or other STEM discipline.2+ years of commercial experience with Python and its data science libraries.Experience with Linux and basic bash scripting.Solid understanding of computation, OOP/architecture design, and data engineering.Knowledge and experience with trading systems, e.g., transaction costs modelling, optimization.Accountable, self-driven, with high standards for deliverables and performance.Ability to work and deliver in a fast pace.Ability to balance attention to detail with execution and delivery focus in a pragmatic manner.Ability to work with ambiguous requirements.Commercial use of cloud compute and containers a plus.Strong analytical skills and command of statistics a plus.Commitment to the highest ethical standards. 


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  • Alpha Capture Relationship Management Lead  

    - London
    Role:Managing relationships with sell-side brokers for broker data, wh... Read More
    Role:Managing relationships with sell-side brokers for broker data, which includes sourcing new data/research, implementing strategic data initiatives to strengthen partnerships, and providing insights into the broker landscape for the buyside use-caseManaging relationships with sell-side contributors of BIDS (Best Ideas Distribution System) Alpha Capture, which includes maintaining regular touch points with our contributors, communicating performance attribution and performance improvement guidelines, and expanding contributor partnership based on the market/industry trends and performance 
    Responsibilities Managing and building relationships with the sell-side for broker data and BIDSManaging regular communications with BIDS contributors for performance feedback, attribution analysis, and performance improvement guidelinesManaging and building relationships with internal stakeholders as a subject matter expert (SME) on broker data and BIDSCollaborating across all businesses (L/S, Macro, Cubist, Treasury, Risk, Compliance, Legal) to expand broker data footprint and improve the quality of BIDS programResearching broker data and alpha capture landscape and staying up-to-date on industry/market trends and providing relevant insights to the internal stakeholdersManaging day-to-day requests for broker data and BIDS, including overseeing the full broker data lifecycleContributing to building Point72’s data library with up-to-date information and research that can be used by our front office, middle office, and back office businesses 
    Requirements: Bachelor’s or master’s degree (with strong academic record)5+ years of relevant experienceFinancial industry experience required; sell-side experience is a plusAlpha capture program experience is a plusExperience working with data sourcing and management is a plusAbility to be manage, prioritize, and execute tasks in a fast-faced, multitasking environmentAbility to uphold compliance framework and IP sensitivity frameworkStrong oral and written communication skillsHigh level of attention to detailIntellectual curiosity and love for proactive learning Strong interpersonal skills Commitment to the highest ethical standards 



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  • L/S Data Analyst - EMEA  

    - London
    What you ’ll doAs a data analyst embedded in an investing team, you wi... Read More
    What you ’ll doAs a data analyst embedded in an investing team, you will help drive innovation by leveraging a variety of data sources and systems. You will work directly with a portfolio manager and their team of research analysts to connect data and fundamental research. Your work will support investment theses and help inform investment decisions. Specifically, you will:Help analyze a broad universe of Compliance-approved data to directly influence idea generation and investment decisions, with an emphasis on equities.Design, build, and maintain data products and predictive models that enable analysis of key performance indicators (KPIs) and forward-looking metrics relevant to your specific sector.Investigate and explore innovative approaches to extract meaningful information from complex datasets.Develop agile, automated systems that rapidly ingest, synthesize, and analyze diverse sets of information in real-time, producing actionable insights to support timely decision-making.Optimize and scale existing data infrastructure to enhance performance, reliability, and adaptability in handling complex, high-volume data streams.Develop and maintain high-quality, efficient, and modular code, creating well-documented custom libraries and data pipelines that enhance the team's analytical capabilities and ensure reproducibility of results.Stay on top of the newest technologies approved for use across the firm.Partner with Compliance on various initiatives such as approved data sources, permissibility of systems, and analytics.
    What’s required Undergraduate degree or higher.Quantitative ability as demonstrated through relevant coursework or work equivalent.Experience working with diverse data types including structured, unstructured (e.g., text), and time-series data.Strong understanding of statistical concepts and their application to large-scale data analysis, with an interest in applying these skills to financial datasets.Strong coding skills in a high-level programming language (e.g., Python, R, or similar). Familiarity with version control systems (such as Git) and collaborative development practices.Strong data visualization skills, with experience in creating informative visualizations using coding languages like Python or R.Strong analytical and problem-solving skills, with the ability to approach complex issues systematically and creatively. Demonstrated capacity to translate business questions into data-driven solutions.Team player with an entrepreneurial spirit and good communication skills.Deep intellectual curiosity and lifelong-learning mindset.Commitment to the highest ethical standards.
    We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide:Private Medical and Dental InsurancesGenerous parental and family leave policiesVolunteer opportunitiesSupport for employee-led affinity groups representing women, people of colour and the LGBQT+ communityMental and physical wellness programmesTuition assistanceNon-contributory pension and more
    About Point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. t . Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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  • Data Scientist, Proprietary Research  

    - London
    What you ’ll doAs a Data Scientist with a focus on alternative data, y... Read More
    What you ’ll doAs a Data Scientist with a focus on alternative data, you will work in close partnership with investment professionals to turn complex datasets into actionable insights that inform discretionary investment strategies. You will apply advanced statistical, machine learning, and Generative AI techniques — leveraging each where most effective — to develop research products that add real commercial value. In this role, you will:Work with large, complex, and often unstructured datasets, transforming them into formats that enable meaningful analysisDesign and implement statistical, machine learning, and generative AI–driven solutions to uncover patterns, test hypotheses, and generate forecastsDevelop research tools and analytical frameworks that can be scaled or adapted for recurring use by investment teamsManage the full research lifecycle — from designing methodologies and preparing data to validating models and monitoring ongoing performanceCollaborate with investment, research, engineering, and compliance experts to ensure research outcomes are relevant, high quality, and meet the firm’s rigorous ethical standardsPresent insights clearly through reports, visualizations, and presentations tailored to both technical and non-technical audiencesStay engaged with emerging trends in alternative data, statistics, ML, and GenAI applications to continually enhance research capabilities
    What’s required Master’s degree in a quantitative discipline with 2+ years of relevant professional experience, or a PhD in a related fieldDeep knowledge of statistics, data mining, and machine learningStrong programming skills in Python, SQL, Spark, and/or RExperience working with large, complex, and often unstructured datasets in applied research or real-world business contextsProven ability to design and deliver analytical solutions with clear commercial impact, from methodology selection through implementation, validation, monitoring and refinementExceptional communication abilities and capable of translating complex quantitative findings for both technical and non-technical audiencesExperience with applying Generative AI tools to enhance analysis is a plusOrganisational skills and adaptability, with the ability to manage multiple projects in a fast-paced environment and work independently while engaging colleagues and managers for alignment and feedbackCommitment to the highest ethical standards
    We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide:Private Medical and Dental InsurancesGenerous parental and family leave policiesVolunteer opportunitiesSupport for employee-led affinity groups representing women, people of colour and the LGBQT+ communityMental and physical wellness programmesTuition assistanceNon-contributory pension and more
    About Point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. t .

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  • 2026 Summer Internship – Data Engineer, Long/Short Equities  

    - London
    A Career in Long/Short Equities at Point72 Long/Short Equity is Point7... Read More
    A Career in Long/Short Equities at Point72 Long/Short Equity is Point72’s core investment strategy, and its success depends upon our sector-based investing teams comprised of portfolio managers and research analysts. As an ever-increasing amount of data is applied to the fundamental equity strategies, we are seeking a dedicated data engineer intern to help design and build solutions that enable investment professionals to extract insights from large, complex, Compliance-approved structured and unstructured data sets.
    Over your 10-week internship in our London office, you will gain exposure to a variety of activities, which may include:  Developing and supporting data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery Working closely with investment professionals, researchers, and data scientists to design, build, launch, and maintain robust end-to-end data pipelines and tools that help extract the most value out of our data assets Building out cloud-based infrastructure using distributed techniques for other data engineers, data scientists, and researchers Creating and supporting visualisation and exploration capabilities around our big data sets
    What Excites You & What Excites Us  Transforming large unstructured data sets into valuable investment research inputs Applying quantitative methods to deliver key insights Learning and working with industry-leading cloud-computing technologies Working as part of a cross-functional team of technologists, investment professionals, and researchers in close partnership with Compliance Great communicators who are approachable and responsive Excellent attention to detail, organisation, and task management An aptitude for solving complex problems Strong team players who collaborate with ease, take accountability, and contribute to a thriving firm culture People who take ownership, are proactive, and get the job done
    Summer Internship Program at Point72  Great communicators who are approachable and responsive Excellent attention to detail, organisation, and task management An aptitude for solving complex problems Strong team players who collaborate with ease, take accountability, and contribute to a thriving firm culture People who take ownership, are proactive, and get the job done In addition to the learning and development you’ll receive in your day-to-day role with your team, as a part of our summer internship program you will: Receive close mentorship from investing and technical professionals Attend sessions with senior leaders discussing their expertise and career paths Get hands-on access to the wealth of tools and resources that Point72 employees use every day Gain exposure to groups and functions with unique responsibilities and perspectives on our industry Develop technical, writing, and presentation skills 
    What's required  Pursuit of a bachelor’s or master’s degree in a quantitative discipline (computer science, maths, engineering), with an expected graduation date of Spring 2027 or later Strong proficiency in SQL and Python (with an emphasis on Pandas, PySpark, etc.) Excel skills and visualisation skills are preferred Excellent attention to detail, organisation, and project management skills Strong verbal and written communication skills Commitment to the highest ethical standards
    About Point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. t .
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  • 2026 Cubist Quant Academy – Researchers  

    - London
    About CubistCubist Systematic Strategies, an affiliate of Point72, dep... Read More
    About CubistCubist 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.
    Job Description Cubist is seeking a small number of exceptionally talented, highly collaborative research analysts to join our Quant Academy rotational program. You will learn concepts that are fundamentally relevant to and important for a career in quantitative trading. We do not require prior experience in finance, but we do require a passion for excellence.The Cubist Quant Academy Program will provide you with broad training in the financial industry expertise you need to know to build a strong foundation and make successful (and meaningful) research contributions. As part of the program you will rotate across various teams within the firm spending several months with each team. During these rotations, you will have exposure to systematic trading approaches across multiple asset classes, where you will develop variety of skills in a more focused research environment. By the end of the rotations, you will have touched the full life cycle of a trade – from market data and research, to portfolio construction and execution, and post-trade analysis – which we believe is essential for long-term success in quantitative financial research.
    Desirable Candidates MS or PhD in finance, computer science, mathematics, physics, engineering or other quantitative discipline.Demonstrated ability to conduct independent research utilizing large data sets.Strong programming in at least one of the following: Python, C++, MATLAB, R.Strong analytical and quantitative skills.Detail-oriented.A clear, concise, and proactive communications style; no fear around asking questions.A strong track record of taking ownership of one’s work, and of working both independently and within a small team.Intellectual curiosity and passion.We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course, we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.
    The annual base salary range is $150,000-$200,000. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. Details about eligibility for bonus compensation (if applicable) will be finalized at the time of offer.


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  • ROLE SUMMARY As a Sector Analyst Intern, you will help provide industr... Read More
    ROLE SUMMARY As a Sector Analyst Intern, you will help provide industry context and business fundamentals to our team of data scientists and engineers and deliver synthesized insights to our investment professionals as you partner with them on their research needs. The work is ever evolving, affording opportunities to tackle new challenges alongside research teammates from diverse backgrounds. During the 10-week program based in our London office, you will gain exposure to:Assignment to a specific sector, where you will develop an understanding of the key themes and KPIs that drive the relevant industries and companiesParticipation in research projects, synthesizing your findings into reports to gain experience on what it’s like to work as an International Sector AnalystThe discretionary investment process through guided exercises and mentorshipCollaborating with our proprietary research teams including Product, Data Sourcing, and Data Science and Engineering to source and extract the most value out of new and existing data assets
    WHAT EXCITES YOU & WHAT EXCITES US Staying current on the industry trends impacting businesses around the worldGaining deep expertise in industries, business models and supply chainsSynthesizing clear takeaways from complex information derived from both qualitative and quantitative methodsUnderstanding the use of alternative data and its role in discretionary investingMulti-tasking and switching gears frequently to address the needs of the businessTaking an experiment-based research approach with freedom to innovateWorking as part of a cross-functional team made up of investment, research, and compliance professionalsSuperb business intuition and a solution-oriented, methodological approach to problem solvingStrong verbal and written communication skillsAbility to collaborate with and build strong client relationshipsIntellectual curiosity and an eagerness to find out if your conclusions are right or wrongPeople who “elevate the room” through their work ethic, curiosity, and attitudeAdherence to the highest ethical standards working closely with the firm’s Compliance team
    WHAT’S REQUIRED Expected bachelor's degree from Fall 2026 to Spring 2027 Excellent attention to detail, organization, and project management skillsElevated business intuition and an innate ability to structure ambiguous problems and take action to solve themStrong verbal and written communication skillsAn understanding of and passion for how companies, industries, and sectors operate and functionProficiency with Excel and/or data processing/programming (SQL or Python preferred)Experience leveraging data analysis as part of fundamental research process for business, public policy, finance, engineering, applied sciences, or other quantitative fieldsCommitment to the highest ethical standards
    WHAT SUCCESS LOOKS LIKE Integrity—You demonstrate 100% commitment to the highest ethical standardsOwnership—You take charge of your work, uphold your commitments, and always do your bestCommerciality—You focus on what matters, ask necessary questions, and are diligent about not wasting timeHumility—You welcome and are receptive to feedback and learn from past mistakesAdaptability—You can triage business needs and context switch quickly and efficientlyAdmirability—You elevate the room through your work ethic, domain knowledge, and work product
    THE POINT72 SUMMER INTERNSHIP PROGRAM & ABOUT POINT72 In addition to the learning and development you’ll receive in your day-to-day role with your team, as a part of our summer internship program you will:Work alongside your fellow interns and be mentored by experienced professionalsMeet your peers through designated intern programming, volunteer opportunities, and social eventsAttend sessions with senior leaders discussing their expertise and career pathsGet hands-on access to best-in-class tools and resourcesGain exposure to groups and functions with unique responsibilities and perspectives on our industryDevelop technical, writing, and presentation skillsPoint72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. t
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  • Fundamental Researcher, MI-Canvas International  

    - London
    ROLE SUMMARY When you join the Canvas team, you’re signing up for the... Read More
    ROLE SUMMARY When you join the Canvas team, you’re signing up for the learning experience of your life. You will never look at anything the same—from grocery stores to tires to semiconductors. Every day you will speak with some of the most successful private company executives and learn about the businesses they’ve spent their lives building. You will synthesize your findings in comprehensive reports that are consumed by our investment professionals.Other Market Intelligence divisions perform quantitative research to explain what is going on in an industry. As a fundamental researcher, your qualitative research will explain why. In this role you will:Become a subject matter expert on an assigned industryLearn from small, medium, and large private company executives about their businesses and the industries in which they operate, including gathering qualitative data on what is happening (, structural shifts, changes in supply/demand dynamics, and emerging competitors, markets, and technologies) and, importantly, why it is happeningSynthesize your findings in comprehensive reports that present a view of the industryGain unparalleled exposure to, and learn from, Compliance approved private company executives across industries, and your colleaguesInteract directly with our investment professionals and learn the discretionary investment process
    WHAT EXCITES YOU Staying current on the evolving alternative data market and its role in discretionary investingSpeaking with experts both inside and outside the firm to understand data needs and offeringsAnalytical thinking and sifting through available data to find “the answer”Working in a fast-paced environment that may require switching gears to address business needsWorking as part of a cross-functional team made up of investment, research, and compliance professionalsWHAT EXCITES USExcellent attention to detail, organization, and project management skillsSuperb business intuition and a solution orientated, methodological approach to problem solvingAbility to collaborate and build relationships across multiple business units within the firmPeople who “elevate the room” through their work ethic, curiosity, and solution-oriented attitudeAdherence to the highest ethical standards while working closely with the firm’s Compliance team
    WHAT’S REQUIRED An undergraduate degree or advanced degree with demonstrated academic successStrong analytical skillsExcellent written and verbal communication abilitiesAn eagerness to find out if your conclusions are right or wrongAn understanding of how companies work (their processes and outcomes), or an interest in learningIntellectual curiosity, creative thinking, maturityHighest standards of ethical decision making
    WHAT’S REQUIRED An undergraduate degree or advanced degree with demonstrated academic successStrong analytical skillsExcellent written and verbal communication abilitiesAn eagerness to find out if your conclusions are right or wrongAn understanding of how companies work (their processes and outcomes), or an interest in learningIntellectual curiosity, creative thinking, maturityHighest standards of ethical decision makingWHAT SUCCESS LOOKS LIKEIntegrity – You demonstrate 100% commitment to the highest ethical standardsOwnership – You take charge of your work, uphold your commitments, and always do your bestCommerciality – You focus on what matters most, ask questions when needed, and are cognizant about not wasting your time or that of othersHumility – You welcome and are receptive to feedback and learn from past mistakesAdaptability – You can triage business needs and context switch quickly and efficientlyAdmirability – You elevate the room through your work ethic, domain knowledge, work product, and solution orientated attitude
    WE TAKE CARE OF OUR PEOPLE We invest in our people, their careers, their health, and their well-being. We want you to concentrate on success and leave the rest to us. When you work here, we provide:Fully-paid health care benefitsLife and Income ProtectionGroup Self Invested Personal Pension SchemeGenerous parental and family leave policiesBusiness Travel Accident InsuranceCorporate Wellness ProgramsAbout Point72Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. t
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Astrid-Lindgren-Weg 12 38229 Salzgitter Germany