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Why Work with Us Solve impactful problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure. Your Role Our Quantitative Researchers are the intellectual architects of our trading strategies, responsible for developing sophisticated models that transform complex data sets into actionable insights. You will apply rigorous statistical and machine-learning methodologies to diverse financial datasets, develop innovative approaches to understanding risk and returns, and design strategy frameworks leveraging first principles from economics and other fields. What We’re Looking For We seek ambitious and talented problem-solvers with strong quantitative backgrounds. No financial knowledge is expected. Quantitative Researcher candidates should have demonstrated capability in conducting cutting-edge research and analysis. We value team members who communicate clearly, have strong critical analysis skills, and can exercise ownership over projects. If working on challenging quantitative problems in a close-knit setting excites you, we’d love to get to know you. The ideal candidate will possess most of the following: PhD, master’s, or bachelor’s degree in computer science, statistics, physics, or a related quantitative field Proven track record developing sophisticated predictive models Strong programming skills, including mastery of Python for data analysis Knowledge of statistical and machine learning modeling frameworks Strong problem-solving skills and research acumen Strong communication skills to articulate complex technical concepts Experience working with large data sets and computationally intensive projects Jo

Why Work with Us Solve impactful problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure. Your Role Our Algorithmic Developers are researchers and engineers who transform complex quantitative concepts into high-performance trading strategies and systems that are efficient, stable, and scalable. You will be continuously challenged to think creatively while conducting rigorous analysis and improvements regarding market dynamics, strategy behavior, and system performance. If you are excited by the prospect of solving these sorts of problems in a collaborative, research-driven environment, we would love to get to know you. What We’re Looking For We seek talented engineers committed to the best algorithmic development practices. No financial knowledge is expected. You should have excellent programming and analytical skills and be excited to apply these talents within our state-of-the-art research and trading infrastructure. You should be motivated to take ownership over core projects and relentlessly drive decisive improvements. The ideal candidate will possess most of the following: PhD, master’s, or bachelor’s degree in computer science or a related field Strong background in data structures and algorithms, and mastery of C++ Applied knowledge of statistical analysis. Passion for solving complex quantitative problems through technology Strong communication skills to articulate complex technical concepts Job Compensation Range The base salary range for this role is prorated based on the full-time salary range of $200,000 - $300,000. This does not include other forms of compensation and benefits that are part of S

About Us Artefact is the next generation end-to-end data service company, with a focus on consulting and marketing, that helps organisations transform data into value and business impact. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. We have over 1500 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. About The Role Key responsibilities You will be working closely with a Senior to understand the issues and challenges that our clients are facing . Build proposals identifying client’s needs, meeting client’s requirements, answering RFP’s; Assist client in their data transformation journey Support to develop appealing charts, graphs, and other documentation to illustrate research results under guidance by the team lead Support to develop strategic recommendations based on derived insights Support the Group on any admin tasks Undertake ad hoc assignments from time to time and other duties as requested by management. What we are looking for Undergraduates and bachelor’s degree holder. Fresh graduates are welcome to apply. Degree in Economics, Business Administration and related field Ability to commit for 3 to 6 months depending on project Excellent communication skills Familiar with Microsoft Office applications especially Excel and Powerpoint Ability to prioritize tasks and work under tight deadlines Ability to work independently and as part of a team Solution-oriented mindset Fluent in English Our Belief We believe data is changing the

ROLE/RESPONSIBILTIES: We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing. The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading. Responsibilities may include: Using NLP to construct features from varied datasets Formulating research hypotheses to derive alpha Building and testing the performance of trading signals based on NLP and financial features Launching identified signals into production REQUIREMENTS: Bachelor’s, Master’s or PhD candidate in computer science or other quantitative discipline Proficient in Python and general software engineering principles (github, testing, dev workflow) Strong understanding of machine learning and statistics Prior research experience preferred Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred Data science stack familiarity preferred An interest in financial markets Great attitude A collaborative mindset 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.

About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. About the role We are seeking Interns for our Account Management team. He/She will manage all operations throughout the campaign lifecycle to fulfill the campaign objectives and client satisfaction. Internship Duration : 6 months (negotiable) Start Date: Within Q3 2026 Graduates and current undergraduate students alike are all welcome to apply. We look forward to hearing from talented individuals willing to learn first hand about the operations behind Appier's Account Management team. Responsibilities 1. Assist in managing campaign creatives, ensuring timely execution with high accuracy 2. Generate campaign reports 3. Support campaign daily operation tasks 4. Support clients in Korea About you 1. Detail-oriented and highly organized, with strong problem solving skills 2. Fluent Korean and above Intermediate level English 3. Fresh graduates are welcome to apply 4. A long-term internship is preferred 5. Interest in digital advertising, account management #LI-JP1

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,700 Qontoers serving over 750,000 customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join Qonto's Growth Operations team as an intern and help drive key initiatives to empower growth channels through best-in-class marketing automation, MarTech tools, revenue products, and generative AI. Under Hugo's leadership, you'll enhance operational efficiency by streamlining processes, centralising marketing data, and supporting cross-functional projects crucial to our growth strategy. What you'll do Support Sales, Partnerships, and Customer Success by maintaining clear workflows, reliable data, scalable processes in Salesforce, and gradually learn how information flows across the full Growth stack. Spot recurring blockers, dig into root causes, contribute to lasting solutions, and document everything so the team gets stronger each time a problem is so

JOB RESPONSIBILITIES A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power. We are looking for exceptional students to join us as quantitative researcher interns for Fall 2026, Spring 2027 and Summer 2027. Our interns will work closely with our team, receive comprehensive, in-depth training, and help develop novel signals that may have real impact. You will gain exposure to a variety of activities, which may include: Conducting full pipeline signal research, from ideation, via implementation and backtesting, to eventual application. Adapting and extending existing results in the broad field of machine learning; conducting novel research as needed to potentially develop new signals that may enhance portfolio returns. Analyzing very large data sets to extract features useful for predictive models. Providing research assistance to the team. Helping improve the team’s research infrastructure. DESIRABLE CANDIDATES Masters or PhD candidates in machine learning, computer science, finance, mathematics, or other quantitative disciplines. Demonstrated ability to conduct independent research utilizing machine learning over large, possibly noisy, data sets. Strong analytical and quantitative skills, and detail-oriented mindset. Proficient in Python or C++, and Linux environment. Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment. Willing to take ownership of his/her work, working both independently and within a collaborative team. Prior experience in the financial services industry is not required. Commitment to the highest ethical standards. The annual base salary range is $120000.00-$180000.00&n

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 in the financial services industry is not required.

Job Description We are seeking a small number of highly talented interns to assist in the development, optimization, and monitoring of our production trading platform and research infrastructure. Interns will work on small, highly collaborative teams. Desirable Candidates Undergraduate or graduate candidates in computer science or engineering Significant experience in Python, C++, C, or Java Serious interest in systems programming (e.g. Linux kernel development, compilers, embedded systems, networking, file systems, debuggers) In-depth understanding of how userland programs run on Linux and interact with the kernel Some basic knowledge of Git, databases (e.g. MySQL), and web development frameworks is a plus Clear, concise, and proactive communicator Detail-oriented Willing to take ownership of his/her work, working both independently and within a small team

JOB DESCRIPTION Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning, while also conducting novel research as required. We are interested in all aspects of ML including: predictive modelling, clustering, time series analysis, natural language processing, and computer vision. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation. Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior. DESIRABLE CANDIDATES Students enrolled in a PhD program in machine learning, computer science, statistics, or a related field. Superb analytical and quantitative skills, along with a healthy streak of creativity. Demonstrated ability to conduct independent research utilizing large data sets. Passion for seeing research through from initial conception to eventual application. Curiosity about financial markets Strong scientific programming in Python, R or Matlab. Empirical, detail-oriented mindset. Sense of ownership of his/her work, working well both independently and within a small collaborative team. 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 abou

Job Description This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading. Job Responsibilities Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies Identify features and relationships useful for the predictive modeling of market dynamics Desirable Candidates Undergraduate, MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl Strong analytical and quantitative skills Demonstrated interest in financial markets and systematic trading Clear, concise, and proactive communicator Detail-oriented Willing to take ownership of his/her work, working both independently and within a small team The annual base salary is $120,000-$180,000 (USD) which will be prorated based on internship start and end date. 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.

JOB DESCRIPTION This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading. JOB RESPONSIBILITIES Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies Identify features and relationships useful for the predictive modeling of market dynamics DESIRABLE CANDIDATES MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl Strong analytical and quantitative skills Demonstrated interest in financial markets and systematic trading Clear, concise, and proactive communicator Detail-oriented Willing to take ownership of his/her work, working both independently and within a small team

Are you looking for challenges within an exceptional entrepreneurial team with young, motivated and extremely driven people? If so, now is the time to apply for our 4 months paid Internship Program in London. About us Retail Insights is part of United Media ( https://www.united-media.com/ ) which focuses on building large-scale industry media and conference products in sectors such as insurance, HR, private equity, retail, etc. What we offer you As part of our Internship Program in London, you will rocket launch your career in a high-paced environment with a continuously steep learning curve. In short, we offer the brightest talents: An opportunity to fast-track your career through responsibility for high-impact projects that constantly push you out of your comfort zone Hands-on experience building and scaling ventures together with the sharpest minds An amazing network and the possibility of reporting directly to C-level staff and Managing Directors Given the opportunity to collaborate on projects with industry leaders Mentorship and guidance - A chance to work closely with our high-performing team as well as with the founder of our company, Mads Faurholt Potential for permanent employment after the internship Your responsibilities You’ll be part of building and scaling companies, which, depending on the role you’ll take, could entail responsibilities such as: Supporting our recruitment function covering everything from candidate sourcing to speaking with potential candidates Being part of creating connections with key players from the industry, like CEOs, entrepreneurs, for example, co-founders of Airbnb, Starbucks etc. building and maintaining valuable relationships with them. Working on marketing and SoMe content creation by developing, implementing and managing social media and marketing strategy Data analysis; extracting the correct data for analysis, and ability to interpret and relay the data. What we expect from you You possess an unparalleled work et

Are you looking for challenges within an exceptional entrepreneurial team with young, motivated and extremely driven people? If so, now is the time to apply for our 4 months paid Internship Program in London. About us Retail Insights is part of United Media ( https://www.united-media.com/ ) which focuses on building large-scale industry media and conference products in sectors such as insurance, HR, private equity, retail, etc. What we offer you As part of our Internship Program in London, you will rocket launch your career in a high-paced environment with a continuously steep learning curve. In short, we offer the brightest talents: An opportunity to fast-track your career through responsibility for high-impact projects that constantly push you out of your comfort zone Hands-on experience building and scaling ventures together with the sharpest minds An amazing network and the possibility of reporting directly to C-level staff and Managing Directors Given the opportunity to collaborate on projects with industry leaders Mentorship and guidance - A chance to work closely with our high-performing team as well as with the founder of our company, Mads Faurholt Potential for permanent employment after the internship Your responsibilities You’ll be part of building and scaling companies, which, depending on the role you’ll take, could entail responsibilities such as: Supporting our recruitment function covering everything from candidate sourcing to speaking with potential candidates Being part of creating connections with key players from the industry, like CEOs, entrepreneurs, for example, co-founders of Airbnb, Starbucks etc. building and maintaining valuable relationships with them. Working on marketing and SoMe content creation by developing, implementing and managing social media and marketing strategy Data analysis; extracting the correct data for analysis, and ability to interpret and relay the data. What we expect from you You possess an unparalleled work et

Are you looking for challenges within an exceptional entrepreneurial team with young, motivated and extremely driven people? If so, now is the time to apply for our 4 months paid Internship Program in London. About us Retail Insights is part of United Media ( https://www.united-media.com/ ) which focuses on building large-scale industry media and conference products in sectors such as insurance, HR, private equity, retail, etc. What we offer you As part of our Internship Program in London, you will rocket launch your career in a high-paced environment with a continuously steep learning curve. In short, we offer the brightest talents: An opportunity to fast-track your career through responsibility for high-impact projects that constantly push you out of your comfort zone Hands-on experience building and scaling ventures together with the sharpest minds An amazing network and the possibility of reporting directly to C-level staff and Managing Directors Given the opportunity to collaborate on projects with industry leaders Mentorship and guidance - A chance to work closely with our high-performing team as well as with the founder of our company, Mads Faurholt Potential for permanent employment after the internship Your responsibilities You’ll be part of building and scaling companies, which, depending on the role you’ll take, could entail responsibilities such as: Supporting our recruitment function covering everything from candidate sourcing to speaking with potential candidates Being part of creating connections with key players from the industry, like CEOs, entrepreneurs, for example, co-founders of Airbnb, Starbucks etc. building and maintaining valuable relationships with them. Working on marketing and SoMe content creation by developing, implementing and managing social media and marketing strategy Data analysis; extracting the correct data for analysis, and ability to interpret and relay the data. What we expect from you You possess an unparalleled work et